IGI/Research/Publications

Publications

2017
Zeno Jonke, Robert Legenstein, Stefan Habenschuss and Wolfgang Maass Feedback Inhibition Shapes Emergent Computational Properties of Cortical Microcircuit Motifs The journal of neuroscience 37, 8511– 8523, 2017 , Link
Christoph Pokorny, Matias Ison, Robert Legenstein and Wolfgang Maass A model for the formation of associations between memory items in the brain
Guillaume Bellec, David Kappel, Wolfgang Maass and Robert Legenstein Deep Rewiring arXiv.org e-Print archive , 2017 , Link
Christoph Pokorny, Matias Ison, Arjun Rao, Robert Legenstein, Christos H. Papadimitriou and Wolfgang Maass Associations between memory traces emerge in a generic neural circuit model through STDP bioRxiv - the Preprint Server for Biology , 1-36, 2017 , DOI , Link
David Kappel, Robert Legenstein, Stefan Habenschuss, Michael Hsieh and Wolfgang Maass Reward-based stochastic self-configuration of neural circuits arXiv.org e-Print archive arXiv preprint arXiv:1704.04238, 2017 , Link
Mihai A. Petrovici, Sebastian Schmitt, Johann Klähn, David Stöckel, Anna Schroeder, Guillaume Bellec, Johannes Bill, Oliver Breitwieser, Ilja Bytschok, Andreas Grübl, Maurice Güttler, Andreas Hartel, Stephan Hartmann, Dan Husmann, Kai Husmann, Sebastian Jeltsch, Vitali Karasenko, Mitja Kleider, Christoph Koke, Alexander Kononov, Christian Mauch, Paul Müller, Johannes Partzsch, Thomas Pfeil, Stefan Schiefer, Stefan Scholze, Anand Subramoney, Vasilis Thanasoulis, Bernhard Vogginger, Robert Legenstein, Wolfgang Maass, René Schüffny, Christian Mayr, Johannes Schemmel and Karlheinz Meier Pattern representation and recognition with accelerated analog neuromorphic systems arXiv.org e-Print archive preprint arXiv:1703.06043, 2017
Sebastian Schmitt, Johann Klähn, Guillaume Emmanuel Fernand Bellec, Andreas Grübl, Güttler Maurice, Andreas Hartl, Stephan Hartmann, Dan Husmann, Kai Husmann, Sebastian Jeltsch, Vitali Karasenko, Mitja Kleider, Christoph Koke, Alexander Kononov, Christian Mauch, Eric Müller, Paul Müller, Johannes Partzsch, Mihai Petrovici, Stefan Schiefer, Stefan Scholze, Vasilis Thanasoulis, Bernhard Vogginger, Robert Legenstein, Wolfgang Maass, Christian Mayr, Rene Schüffny, Johannes Schemmel and Karlheinz Meier Neuromorphic Hardware In The Loop: Training a Deep Spiking Network on the BrainScaleS Wafer-Scale System arXiv.org e-Print archive arXiv:1703.01909, 2017
Robert Legenstein, Zeno Jonke, Stefan Habenschuss and Wolfgang Maass A probabilistic model for learning in cortical microcircuit motifs with data-based divisive inhibition arXiv.org e-Print archive , 1-27, 2017 , DOI
2016
Alexander Serb, Johannes Bill, Ali Khiat, Radu Berdan, Robert Legenstein and Themis Prodromakis Unsupervised learning in probabilistic neural networks with multi-state metal-oxide memristive synapses Nature Communications , Nature Communications, Nature Communications, Nature Communications, Nature Communications, Nature Communications 7, 2016
Dejan Pecevski and Wolfgang Maass Learning Probabilistic Inference through Spike-Timing-Dependent Plasticity eNeuro 3, 2016 , DOI
Robert Legenstein, Christos H. Papadimitriou, Santosh Vempala and Wolfgang Maass Assembly pointers for variable binding in networks of spiking neurons arXiv.org e-Print archive preprint arXiv:1611.03698, 2016
Wolfgang Maass Energy-efficient neural network chips approach human recognition capabilities Proceedings of the National Academy of Sciences of the United States of America 113, doi/10.1073/pnas.1614109113, 2016
F.B. Pokorny, B. W. Schuller, Robert Peharz, Franz Pernkopf, K.D. Bartl-Pokorny, C. Einspieler and P.B. Marschik Contributing to the early identification of neurodevelopmental disorders: The retrospective analysis of pre-linguistic vocalisations in home video materialContributing to the early identification of neurodevelopmental disorders: The retrospective analysis of pre-linguistic vocalisations in home video material
Zhaofei Yu, David Kappel, Robert Legenstein, Sen Song, Feng Chen and Wolfgang Maass Hamiltonian synaptic sampling in a model for reward-gated network plasticity arXiv.org e-Print archive , 2016 , Link
Zeno Jonke, Stefan Habenschuss and Wolfgang Maass Solving constraint satisfaction problems with networks of spiking neurons Frontiers in neuroscience , 2016 , DOI , Link
Wolfgang Maass Searching for principles of brain computation Current Opinion in Behavioral Sciences 11, 81-92, 2016 , Link
Christoph Pokorny, Christian Breitwieser and Gernot Müller-Putz The role of transient target stimuli in a steady-state somatosensory evoked potential-based brain-computer interface setup Frontiers in neuroscience 10, 2016
Behnam Taraghi, Anna Saranti, Robert Legenstein and Martin Ebner Bayesian modelling of student misconceptions in the one-digit multiplication with probabilistic programming
Franz Aurenhammer, Günter Paulini and Bert Jüttler Voronoi diagrams for parallel halflines in 3DVoronoi diagrams for parallel halflines in 3D
Franz Aurenhammer and Gernot Christian Walzl Straight Skeletons and Mitered Offsets of Nonconvex Polytopes Discrete & computational geometry 56, 743-801, 2016
2015
David Kappel, Stefan Habenschuss, Robert Legenstein and Wolfgang Maass Synaptic sampling: A Bayesian approach to neural network plasticity and rewiringSynaptic sampling: A Bayesian approach to neural network plasticity and rewiring
David Kappel, Stefan Habenschuss, Robert Legenstein and Wolfgang Maass Synaptic Plasticity as Bayesian Inference
Wolfgang Aigner, Franz Aurenhammer and Bert Jüttler On Triangulation Axes of Polygons Information processing letters 115, 45-51, 2015
Wolfgang Maass, David Kappel, Stefan Habenschuss and Robert Legenstein Reward-based network plasticity as Bayesian inference
Petar Horki, Daniela S. Klobassa, Christoph Pokorny and Gernot Müller-Putz Evaluation of Healthy EEG Responses for Spelling through Listener-Assisted Scanning IEEE journal of biomedical and health informatics 19, 29-36, 2015 , DOI
Wolfgang Maass To spike or not to spike: That is the question. Proceedings of the IEEE 103, 2219-2224, 2015 , DOI
Oswin Aichholzer, Franz Aurenhammer, Wolfgang Aigner, Bert Jüttler, Katerina Dobiásová and G. Rote Triangulations with circular arcs Journal of Graph Algorithms and Applications , 43-65, 2015
Johannes Bill, Lars Holger Büsing, Stefan Habenschuss, Bernhard Nessler, Wolfgang Maass and Robert Legenstein Distributed Bayesian computation and self-organized learning in sheets of spiking neurons with local lateral inhibition PLoS ONE 10, e0134356-e0134356, 2015
David Kappel, Stefan Habenschuss, Robert Legenstein and Wolfgang Maass Network plasticity as Bayesian inference PLoS computational biology 11, e1004485-e1004485, 2015
Robert Legenstein Nanoscale connections for brain-like circuits Nature (London) 521, 37-38, 2015
Oswin Aichholzer, Franz Aurenhammer, Thomas Hackl, Alexander Pilz, Birgit Vogtenhuber and Clemens Huemer 3-Colorability of Pseudo-Triangulations International journal of computational geometry and applications , 283-298, 2015
Christoph Pokorny, Gernot Griesbacher, Zeno Jonke and Robert Legenstein Neural Computation with Assemblies and Assembly Sequences
Robert Legenstein, David Kappel, Stefan Habenschuss and Wolfgang Maass Stochastic network plasticity as Bayesian inference
2014
David Kappel STDP installs in winner-take-all circuits an online approximation to hidden Markov model learning
Zeno Jonke, Stefan Habenschuss and Wolfgang Maass A theoretical basis for efficient computations with noisy spiking neurons arXiv.org e-Print archive , 2014
Gernot Griesbacher Cell assembly self-organization in ensembles of pyramidal cells with relaxed lateral inhibition
Franz Aurenhammer and Gernot Christian Walzl Three-dimensional straight skeletons from bisector graphsThree-dimensional straight skeletons from bisector graphs1-13
Christoph Pokorny, Gerald Pichler, Damien Lesenfants, Quentin Noirhomme, Steven Laureys and Gernot Müller-Putz Steady-State Somatosensory Evoked Potentials in Minimally Conscious Patients – Challenges and PerspectivesSteady-State Somatosensory Evoked Potentials in Minimally Conscious Patients – Challenges and Perspectives055-1-055-4
Gernot Christian Walzl and Franz Aurenhammer Polytope Offsets and Straight Skeletons in 3DPolytope Offsets and Straight Skeletons in 3D98-99
David Kappel, Bernhard Nessler and Wolfgang Maass STDP Installs in Winner-Take-All Circuits an Online Approximation to Hidden Markov Model Learning PLoS computational biology 10, 1-22, 2014 , DOI
Petar Horki, Günther Bauernfeind, Daniela S. Klobassa, Christoph Pokorny, Gerald Pichler, Walter Schippinger and Gernot Müller-Putz Detection of mental imagery and attempted movements in patients with disorders of consciousness using EEG Frontiers in Human Neuroscience 8, 1-9, 2014 , DOI
Robert Legenstein and Wolfgang Maass Ensembles of spiking neurons with noise support optimal probabilistic inference in a dynamically changing environment PLoS computational biology 10, 1-27, 2014 , DOI
D. Lesenfants, D. Habbal, Z. Lugo, M. Lebeau, Petar Horki, E. Amico, Christoph Pokorny, F. Gomez, A. Soddu, Gernot Müller-Putz, S. Laureys and Q. Noirhomme An independent SSVEP-based brain-computer interface in locked-in syndrome Journal of neural engineering 11, 2014 , DOI
Wolfgang Maass Noise as a resource for computation and learning in networks of spiking neurons Proceedings of the IEEE 102, 860-880, 2014 , DOI
Dejan Pecevski, David Kappel and Zeno Jonke NEVESIM: event-driven neural simulation framework with a Python interface Frontiers in neuroinformatics 8, 1-20, 2014 , DOI
Oswin Aichholzer, Franz Aurenhammer, Thomas Hackl, Ferran Hurtado, Alexander Pilz, Pedro Ramos, Jorge Urrutia, Pavel Valtr and Birgit Vogtenhuber On k-Convex Point Sets Computational geometry 47, 809-832, 2014 , DOI
Johannes Bill and Robert Legenstein A compound memristive synapse model for statistical learning through STDP in spiking neural networks Frontiers in neuroscience 8, 1-18, 2014
Christoph Pokorny, Gerald Pichler, Damien Lesenfants, Quentin Noirhomme, Steven Laureys and Gernot Müller-Putz Steady-State Somatosensory Evoked Potentials in Minimally Conscious Patients – Challenges and Perspectives
Robert Legenstein A comparison of manual neuronal reconstruction from biocytin histology or 2-photon imaging: morphometry and computer modeling Frontiers in Neuroanatomy 8, 65-65, 2014
Franz Aurenhammer and Günter Paulini On shape Delaunay tessellations Information processing letters 114, 535-541, 2014 , DOI
Franz Aurenhammer, Bing Su, Yinfeng Xu and Binhai Zhu A note on visibility-constrained Voronoi diagrams Discrete applied mathematics 174, 52-56, 2014 , DOI
Robert Legenstein Recurrent network models, reservoir computingRecurrent network models, reservoir computing1-5
Christoph Guger, Bettina Sorger, Q. Noirhomme, Lorina Naci, Martin M. Monti, Ruben Real, Christoph Pokorny, Sandra Veser, Zulay Lugo, Lucia Quitadamo, D. Lesenfants, Monica Risetti, Rita Formisano, Jlenia Toppi, Laura Astolfi, Thomas Emmerling, Lizette Heine, Helena Erlbeck, Petar Horki, Boris Kotchoubey, Luigi Bianchi, Donatella Mattia, Rainer Goebel, Adrian M. Owen, Frederic Pellas, Gernot Müller-Putz, S. Laureys, Andrea Kübler and Febo Cincotti Brain-Computer Interfaces for Assessment and Communication in Disorders of ConsciousnessBrain-Computer Interfaces for Assessment and Communication in Disorders of Consciousness181-214
Christoph Pokorny, Christian Breitwieser and Gernot Müller-Putz A Tactile Stimulation Device for EEG Measurements in Clinical Use IEEE transactions on biomedical circuits and systems 8, 305-312, 2014 , DOI
Gernot Griesbacher Self-organization in spiking neural networks
Gregor Michael Hörzer, Robert Legenstein and Wolfgang Maass Emergence of complex computational structures from chaotic neural networks through reward-modulated Hebbian learning Cerebral cortex 24, 677-690, 2014 , DOI
2013
Stefan Habenschuss, Zeno Jonke and Wolfgang Maass Networks of spiking neurons with noise have an inherent capability to generate heuristic solutions to complex constraint satisfaction problems
Stefan Klampfl and Wolfgang Maass Emergence of dynamic memory traces in cortical microcircuit models through STDP The journal of neuroscience 33, 11515-11529, 2013
Johannes Bill, Lars Buesing, Stefan Habenschuss, Bernhard Nessler, Robert Legenstein and Wolfgang Maass Local inhibition facilitates synaptic learning in spatially extended Bayesian spiking networks
Christoph Pokorny, Daniela Klobassa, Gerald Pichler, Helena Erlbeck, Ruben Real, Andrea Kübler, Damien Lesenfants, Dina Habbal, Quentin Noirhomme, Monica Risetti, Donatella Mattia and Gernot Müller-Putz The auditory P300-based single-switch brain-computer interface: Paradigm transition from healthy subjects to minimally conscious patients Artificial intelligence in medicine 59, 81-90, 2013
Elmar Rückert Learned parametrized dynamic movement primitives with shared synergies for controlling robotic and musculoskeletal systems. Frontiers in Computational Neuroscience 7, 1-18, 2013 , DOI
Bernhard Nessler, Michael Pfeiffer, Lars Buesing and Wolfgang Maass Bayesian computation emerges in generic cortical microcircuits through spike-timing-dependent plasticity PLoS computational biology 9, e1003037-e1003037, 2013
Petar Horki, Daniela S. Klobassa, Christoph Pokorny and Gernot Müller-Putz Auditorily elicited neural oscillations associated with motor execution, motor imagery and non-motor mental tasks.
Gernot Müller-Putz, Christoph Pokorny, Daniela S. Klobassa, Gerald Pichler and Petar Horki EEG-Based Communication With Patients in Minimally Conscious State
Petar Horki, Daniela S. Klobassa, Christoph Pokorny and Gernot Müller-Putz Auditorily elicited neural oscillations associated with motor execution, motor imagery and non-motor mental tasksAuditorily elicited neural oscillations associated with motor execution, motor imagery and non-motor mental tasks1-2
Stefan Habenschuss, Johannes Bill and Bernhard Nessler Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraintsHomeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraints782-790
Elmar Rückert and Andrea d'Avella Learned Muscle Synergies as Prior in Dynamical Systems for Controlling Bio-mechanical and Robotic SystemsLearned Muscle Synergies as Prior in Dynamical Systems for Controlling Bio-mechanical and Robotic Systems
D. Lesenfants, D. Habbal, Christoph Pokorny, C. Chatelle, Petar Horki, F. Gomez, A. Soddu, Gernot Müller-Putz, S. Laureys and Q. Noirhomme Implementation of a new independent SSVEP-based BCIImplementation of a new independent SSVEP-based BCI304-305
Gernot Christian Walzl and Franz Aurenhammer Structure and Computation of Straight Skeletons in 3-SpaceStructure and Computation of Straight Skeletons in 3-Space44-54
Gernot Griesbacher Structure and Self Organization in Spiking Neural Networks
D. Lesenfants, D. Habbal, Christoph Pokorny, C. Chatelle, Petar Horki, F. Gomez, A. Soddu, Gernot Müller-Putz, S. Laureys and Q. Noirhomme Implementation of a new independent SSVEP-based BCI
Elmar Rückert, David Kappel, Gerhard Neumann, Marc Toussaint and Wolfgang Maass Principles for an Alternative Design of Movement Primitives that Uses Probabilistic Inference in Learned Graphical Models
Elmar Rückert, Gerhard Neumann, Marc Toussaint and Wolfgang Maass Learned graphical models for probabilistic planning provide a new class of movement primitives Frontiers in Computational Neuroscience 6, 1-20, 2013 , DOI
Stefan Habenschuss, Zeno Jonke and Wolfgang Maass Stochastic Computations in Cortical Microcircuit Models PLoS computational biology 9, e1003311-e1003311, 2013
Giacomo Indiveri, Bernabé Linares-Barranco, Robert Legenstein, George Deligeorgis and Themistoklis Prodromakis Integration of nanoscale memristor synapses in neuromorphic computing architectures Nanotechnology 24, 384010-384010, 2013 , DOI
Wolfgang Maass, Stefan Habenschuss and Zeno Jonke Neural circuits naturally encode probability distributions over network states, and over trajectories of network states
Stefan Habenschuss, Helmut Puhr and Wolfgang Maass Emergence of Optimal Decoding of Population Codes through STDP Neural computation 25, 1371-1407, 2013 , DOI
2012
Elmar Rückert and Gerhard Neumann Stochastic Optimal Control Methods for Investigating the Power of Morphological Computation Artificial life 19, 115-131, 2012 , DOI
Zeno Jonke, Stefan Habenschuss, Robert Legenstein and Wolfgang Maass Improved feature extraction by pyramidal cells through relaxed lateral inhibition
Robert Legenstein and Wolfgang Maass Spikes as temporal beliefs and the optimal temporal integration of uncertain information in networks of spiking neurons
Franz Aurenhammer and Bert Jüttler On Computing the Convex Hull of (Piecewise) Curved Objects Mathematics in computer science 6, 261-266, 2012 , DOI
Wolfgang Maass, Dimitri Probst, Henry Markram and Marc Oliver Gewaltig Liquid Computing in a Simplified Model of Cortical Layer IV: Learning to Balance a BallLiquid Computing in a Simplified Model of Cortical Layer IV: Learning to Balance a Ball209-216
Thomas Schiffer, Franz Aurenhammer and Markus Demuth Computing Convex Quadrangulations Discrete applied mathematics 160, 648-656, 2012 , DOI
O. Aichholzer, W. Aigner, F. Aurenhammer, B. Jüttler, K. Dobiásová and G. Rote Triangulations with circular arcsTriangulations with circular arcs296-307
O. Aichholzer, W. Aigner, F. Aurenhammer and B. Jüttler Exact medial axis computation for triangulated solids with respect to piecewise linear metricsExact medial axis computation for triangulated solids with respect to piecewise linear metrics1-27
Franz Aurenhammer On triangulation axes of polygonsOn triangulation axes of polygons125-128
Oswin Aichholzer, Wolfgang Aigner, Thomas Hackl and Nicola Wolpert Exact Medial Axis Computation for Circular Arc BoundariesExact Medial Axis Computation for Circular Arc Boundaries28-42
Elmar Rückert and Gerhard Neumann A study of Morphological Computation by using Probabilistic Inference for Motor PlanningA study of Morphological Computation by using Probabilistic Inference for Motor Planning
David Kappel, Bernhard Nessler and Wolfgang Maass Emergence of Hidden Markov Models through STDP in Networks of Spiking Neurons
Michael Pfeiffer, Manfred Hartbauer, Wolfgang Maass, Alexander B. Lang and Heinrich Römer Probing Real Sensory Worlds of Receivers with Unsupervised Clustering PLoS ONE 7, 1-22, 2012 , DOI
Stefan Klampfl, V. David Stephen, Pingbo Yin, Shibab Shamma and Wolfgang Maass A quantitative analysis of information about past and present stimuli encoded by spikes of A1 neurons Journal of neurophysiology 108, 1366-1380, 2012 , DOI
Helmut Hauser, Auke J. Ijspeert, Rudolf M. Füchslin, Rolf Pfeifer and Wolfgang Maass The role of feedback in morphological computation with compliant bodies Biological cybernetics , 1-19, 2012 , DOI
Oswin Aichholzer, Franz Aurenhammer, E. Demaine, F. Hurtado, P.A. Ramos and Jorge Urrutia On k-convex polygons Computational geometry 45, 73-87, 2012
2011
Wolfgang Aigner The medial axis of geometric objects for various convex metrics
Robert Legenstein, Dejan Pecevski, Lars Holger Büsing and Wolfgang Maass Dendritic computation could support probabilistic inference in networks of spiking neurons
Stefanie Liebe, Gregor Michael Hörzer, Nikos Logothetis and Gregor Rainer Long range coupling in theta between V4 and prefrontal cortex predicts visual memory performance
Malte J. Rasch, Klaus Schuch, Nikos K. Logothetis and Wolfgang Maass Statistical Comparison of Spike Responses to Natural Stimuli in Monkey Area V1 With Simulated Responses of a Detailed Laminar Network Model for a Patch of V1 Journal of neurophysiology 105, 757-778, 2011 , DOI
Lars Buesing, Johannes Bill, Bernhard Nessler and Wolfgang Maass Neural Dynamics as Sampling: A Model for Stochastic Computation in Recurrent Networks of Spiking Neurons PLoS computational biology 7, e1002211-e1002211, 2011 , DOI
Robert Legenstein and Wolfgang Maass Self-organization of nonlinear neural computation through synaptic plasticity in dendritic branches
Robert Legenstein Dendritic computation could support probabilistic inference in networks of spiking neuronsDendritic computation could support probabilistic inference in networks of spiking neurons1-1
Wolfgang Aigner Exact medial axis computation of triangulated solid for piecewise linear metricsExact medial axis computation of triangulated solid for piecewise linear metrics1-27
Gregor Michael Hörzer, Robert Legenstein and Wolfgang Maass Eliminating the teacher in reservoir computingEliminating the teacher in reservoir computing32-32
Helmut Hauser, Auke J. Ijspeert, Rudolf M. Füchslin, Rolf Pfeifer and Wolfgang Maass Towards a theoretical foundation for morphological computation with compliant bodies Biological cybernetics 105, 355-370, 2011
Stefan Klampfl Computation and Learning in Biological Networks of Neurons: Theoretical Analysis, Computer Simulations, and Analysis of Experimental Data
Robert Legenstein and Wolfgang Maass Branch-specific plasticity enables self-organization of nonlinear computation in single neurons The journal of neuroscience 31, 10787-10802, 2011
Helmut Hauser, Gerhard Neumann, Auke J. Ijspeert and Wolfgang Maass Biologically Inspired Kinematic Synergies Enable Linear Balance Control of a Humanoid Robot Biological cybernetics 104, 235-249, 2011 , DOI
Wolfgang Maass Motivation, theory, and applications of liquid state machinesMotivation, theory, and applications of liquid state machines275-296
Oswin Aichholzer, Franz Aurenhammer, Thomas Hackl, Bert Jüttler, Margot Oberneder and Zbynek Sir Computational and structural advantages of circular boundary representation International journal of computational geometry and applications 21, 47-69, 2011 , DOI
Stefan Habenschuss, Helmut Puhr and Wolfgang Maass Emergence of Optimal Population Decoding through STDP
Gernot Griesbacher and Helmut Hauser Moving a robot arm by exploiting its complex compliant morphology
Dejan Pecevski, Lars Buesing and Wolfgang Maass Probabilistic inference in general graphical models through sampling in stochastic networks of spiking neurons. PLoS computational biology 7, 1-25, 2011 , DOI
2010
Robert Legenstein, Steven Chase, Andrew B. Schwartz and Wolfgang Maass A reward-modulated Hebbian learning rule can explain experimentally observed network reorganization in a brain control task The journal of neuroscience 30, 8400-8410, 2010
Oswin Aichholzer, Wolfgang Aigner, Franz Aurenhammer, Thomas Hackl, [No Value] Jüttler B., [No Value] Pilgerstorfer E. and [No Value] Rabl M. Divide-and conquer for Voronoi diagrams revisited Computational geometry 43, 688-699, 2010
Robert Legenstein Reinforcement learning on slow features of high-dimensional input streams PLoS computational biology 6, e1000894-e1000894, 2010
Lars Büsing, Johannes Bill, Bernhard Nessler, Stefan Habenschuss and Wolfgang Maass Emergence of Bayesian computation in generic motifs of cortical microcircuits
Lars Holger Büsing and Wolfgang Maass A Spiking Neuron as Information Bottleneck Neural computation 22, 1961-1992, 2010 , DOI
Stefanie Liebe, Gregor Michael Hörzer, Nikos Logothetis and Gregor Rainer Oscillatory neuronal synchronization between prefrontal and extrastriate visual cortex during visual memory
Gregor Michael Hörzer Reward-modulated Hebbian learning is able to induce coherent patterns of activity and simple memory functions in initially chaotic recurrent neural networks
Claudia Clopath, Lars Holger Büsing, Eleni Vasilaki and Wulfram Gerstner Connectivity reflects Coding: a model of voltage-based STDP with homeostasis Nature neuroscience 13, 344-352, 2010 , DOI
Gregor Michael Hörzer, Stefanie Liebe, Alois Schlögl, Nikos Logothetis and Gregor Rainer Directed coupling in local field potentials of Macaque V4 during visual short-term memory revealed by multivariate autoregressive models Frontiers in Computational Neuroscience , 1-13, 2010 , DOI
Lars Holger Büsing, Benjamin Schrauwen and Robert Legenstein Connectivity, Dynamics, and Memory in Reservoir Computing with Binary and Analog Neurons Neural computation 22, 1272-1311, 2010 , DOI
Stefan Klampfl and Wolfgang Maass A theoretical basis for emergent pattern discrimination in neural systems through slow feature extraction Neural computation 22, 2979-3035, 2010 , DOI
Bernhard Nessler, Michael Pfeiffer and Wolfgang Maass STDP enables spiking neurons to detect hidden causes of their inputsSTDP enables spiking neurons to detect hidden causes of their inputs1357-1365
Robert Legenstein, Steven Chase, Andrew B. Schwartz and Wolfgang Maass Functional network reorganization in motor cortex can be explained by reward-modulated Hebbian learningFunctional network reorganization in motor cortex can be explained by reward-modulated Hebbian learning1105-1113
Johannes Bill, Daniel Bruederle, Bernhard Kaplan, Jens Kremkow, Karlheinz Meier, Eric Mueller and Johannes Schemmel Simulator-like exploration of cortical network architectures with a mixed-signal VLSI systemSimulator-like exploration of cortical network architectures with a mixed-signal VLSI system2784-2787
Robert Legenstein Combining predictions for accurate recommender systemsCombining predictions for accurate recommender systems693-702
Markus Demuth, Franz Aurenhammer and Axel Pinz Straight skeletons for binary shapesStraight skeletons for binary shapes9-16
Oswin Aichholzer, Franz Aurenhammer, Thomas Hackl, Clemens Huemer, Alexander Pilz and Birgit Vogtenhuber 3-Colorability of pseudo-triangulations3-Colorability of pseudo-triangulations21-24
Stefan Klampfl and Wolfgang Maass Replacing supervised classification learning with Slow Feature Analysis in spiking neural networksReplacing supervised classification learning with Slow Feature Analysis in spiking neural networks988-996
Oswin Aichholzer, Wolfgang Aigner, Franz Aurenhammer, Katerina Dobiásová and Bert Jüttler Arc TriangulationsArc Triangulations17-20
Wolfgang Maass and Stefan Häusler Die Nerven und ihre Erinnerung , 2010
Wolfgang Maass and Stefan Häusler Hirnforschung - Prothesen für Gelähmte , 2010
Wolfgang Maass and Stefan Häusler Zeitsprung in der Schüssel , 2010
Wolfgang Maass and Stefan Häusler Das Gehirn als Teich, in den man Steine wirft , 2010
Michael Pfeiffer, Bernhard Nessler, Rodney J. Douglas and Wolfgang Maass Reward-modulated Hebbian Learning of Decision Making Neural computation 22, 1399-1444, 2010 , DOI
Johannes Bill, Klaus Schuch, Wolfgang Maass, Daniel Bruederle, Johannes Schemmel and Karlheinz Meier Compensating inhomogeneities of neuromorphic VLSI devices via short-term synaptic plasticity Frontiers in Computational Neuroscience , 1-12, 2010 , DOI
2009
Gerhard Neumann, Wolfgang Maass and Jan Peters Learning Complex Motions by Sequencing Simpler Motion TemplatesLearning Complex Motions by Sequencing Simpler Motion Templates753-761
Stefan Klampfl, Stephen V David, Pingbo Yin, Shihab A Shamma and Wolfgang Maass Integration of stimulus history in information conveyed by neurons in primary auditory cortex in response to tone sequences
Danko Nikolic, Stefan Häusler, Wolf Singer and Wolfgang Maass Distributed fading memory for stimulus properties in the primary visual cortex PLoS biology 7, 1-19, 2009 , DOI
Gernot Griesbacher Learning to move a robot arm by exploiting it’s morphological structure
Bernhard Nessler, Michael Pfeiffer and Wolfgang Maass STDP enables spiking neurons to detect hidden causes of their inputs
Niko Wilbert, Mathias Franzius, Robert Legenstein and Laurenz Wiskott Reinforcement learning on complex visual stimuli
Stefan Häusler, Klaus Schuch and Wolfgang Maass Motif distribution, dynamical properties, and computational performance of two data-based cortical microcircuit templates Journal of physiology Paris 103, 73-87, 2009 , DOI
D. Buonomano and Wolfgang Maass State-dependent computations: Spatiotemporal processing in cortical networks Nature reviews / Neuroscience 10, 113-125, 2009 , DOI
Oswin Aichholzer, Wolfgang Aigner, Franz Aurenhammer, Thomas Hackl, Bert Jüttler and Margot Rabl Medial axis computation for planar free-form shapes Computer-aided design 41, 339-349, 2009 , DOI
Stefan Klampfl Replacing supervised classification learning with Slow Feature Analysis in spiking neural networks
Robert Legenstein Computation and Learning in Neural Systems
Oswin Aichholzer, Wolfgang Aigner, Franz Aurenhammer, Thomas Hackl, Bert Jüttler, Elisabeth Pilgerstorfer and Margot Rabl Divide-and-conquer for voronoi diagrams revisitedDivide-and-conquer for voronoi diagrams revisited189-197
Oswin Aichholzer, Franz Aurenhammer, Thomas Hackl and Bettina Speckmann On minimum weight pseudo-triangulations Computational geometry 42, 627-631, 2009
Heinz Koeppl and Stefan Häusler Motifs, algebraic connectivity and computational performance of two data- based cortical circuit templatesMotifs, algebraic connectivity and computational performance of two data- based cortical circuit templates83-86
Oswin Aichholzer, Franz Aurenhammer, Olivier Devillers, Thomas Hackl, Monique Teillaud and Birgit Vogtenhuber Lower and upper bounds on the number of empty cylinders and ellipsoidsLower and upper bounds on the number of empty cylinders and ellipsoids139-142
Dejan Pecevski, Thomas Natschläger and Klaus Schuch PCSIM: A Parallel Simulation Environment for Neural Circuits Fully Integrated with Python Frontiers in neuroinformatics 3, ---, 2009 , DOI
Niko Wilbert, Robert Legenstein and Laurenz Wiskott Slowness in hierarchical networks for visual processing
Oswin Aichholzer, Franz Aurenhammer, F. Hurtado, P.A. Ramos and Jorge Urrutia Two-convex polygonsTwo-convex polygons117-120
Benjamin Schrauwen, Lars Holger Büsing and Robert Legenstein On Computational Power and the Order-Chaos Phase Transition in Reservoir ComputingOn Computational Power and the Order-Chaos Phase Transition in Reservoir Computing
Robert Legenstein, Steven M. Chase, Andrew B. Schwartz and Wolfgang Maass Functional network reorganization in motor cortex can be explained by reward-modulated Hebbian learning
Stefanie Liebe, Gregor Michael Hörzer, Nikos Logothetis, Wolfgang Maass and Gregor Rainer Long range coupling between V4 and PF in theta band during visual short-term memory
Bernhard Nessler, Michael Pfeiffer and Wolfgang Maass STDP performs stochastic EM to reveal the hidden causes of spatiotemporal spiking patterns
Wolfgang Maass and Stefan Häusler Blick durch die Brille , 2009
Robert Legenstein and Wolfgang Maass An integrated learning rule for branch strength potentiation and STDP
Wolfgang Maass and Stefan Häusler Durch die Brille der Vergangenheit , 2009
Stefan Klampfl, Robert Albin Legenstein and Wolfgang Maass Spiking neurons can learn to solve information bottleneck problems and to extract independent components Neural computation 21, 911-959, 2009
Wolfgang Maass and Stefan Häusler Blick zurück , 2009
Bernhard Nessler, Michael Pfeiffer and Wolfgang Maass Hebbian learning of Bayes optimal decisionsHebbian learning of Bayes optimal decisions1169-1176
A. Steimer, Wolfgang Maass and Rodney Douglas Belief-propagation in networks of spiking neurons Neural computation 21, 2502-2523, 2009
Oswin Aichholzer, Franz Aurenhammer, Bernhard Kornberger, Simon Plantinga, Günter Rote, Astrid Sturm and Gert Vegter Recovering structure from r-sampled objectsRecovering structure from r-sampled objects1349-1360
Oswin Aichholzer, Wolfgang Aigner, Franz Aurenhammer, Thomas Hackl, Bert Jüttler, Elisabeth Pilgerstorfer and Margot Rabl Divide-and-conquer for voronoi diagrams revisitedDivide-and-conquer for voronoi diagrams revisited293-296
B. Aranaov , Franz Aurenhammer, F. Hurtado , S. Langerman , D. Rappaport , S. Smorodinsky and C. Seara Small weak epsilon nets Computational geometry 42, 455-462, 2009
2008
Franz Aurenhammer and [No Value] Xu Y.-F. Optimal triangulationsOptimal triangulations2757-2764
Robert Legenstein, Dejan Pecevski and Wolfgang Maass A learning theory for reward-modulated spike-timing-dependent plasticity with application to biofeedback PLoS computational biology 4, 1-27, 2008
Robert Legenstein On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing
Franz Aurenhammer, Markus Demuth and Thomas Schiffer Computing convex quadrangulationsComputing convex quadrangulations
Bernhard Nessler, Michael Pfeiffer and Wolfgang Maass Hebbian Learning of Bayes Optimal Decisions
Oswin Aichholzer, Franz Aurenhammer, Thomas Hackl, Bernhard Kornberger, Simon Plantinga, Günter Rote, Astrid Sturm and Gert Vegter Seed Polytopes for Incremental ApproximationSeed Polytopes for Incremental Approximation13-16
Gregor Michael Hörzer Extraction of information about the behavioral state of monkeys from neuronal recordings with methods from machine learning
Robert Albin Legenstein, Dejan Pecevski and Wolfgang Maass Theoretical analysis of learning with reward-modulated spike-timing-dependent plasticityTheoretical analysis of learning with reward-modulated spike-timing-dependent plasticity
Robert Albin Legenstein and Wolfgang Maass On the classification capability of sign-constrained perceptrons Neural computation 20, 208-309, 2008
Gerhard Neumann Fitted Q-Iteration by Advantage Weighted RegressionFitted Q-Iteration by Advantage Weighted Regression
Michael Pfeiffer, Bernhard Nessler and Wolfgang Maass A Hebbian Learning Rule for Optimal Decision Making
Lars Holger Büsing and Wolfgang Maass Simplified rules and theoretical analysis for information bottleneck optimization and PCA with spiking neuronsSimplified rules and theoretical analysis for information bottleneck optimization and PCA with spiking neurons
Oswin Aichholzer, Franz Aurenhammer, P. Gonzalez-Nava, Thomas Hackl, Clemens Huemer, F. Hurtado, Hannes Krasser, S. Ray and Birgit Vogtenhuber Matching edges and faces in polygonal partitions Computational geometry 39, 134-141, 2008 , DOI
Anna Manuela Meier, Saranti Sonic Explorations with Earthquake DataSonic Explorations with Earthquake Data0-0
Anna Saranti A., Meier M. "underground sounds": Experimenting with the sounds of earthquakes"underground sounds": Experimenting with the sounds of earthquakes0-0
Gerhard Neumann Batch-Mode Reinforcement Learning for Continuous State Spaces: A Survey ÖGAI-Journal 27, 1-1, 2008
Marcelo Montemurro, Malte Rasch, Yusuke Murayama, Nikos K. Logothetis and Stefano Panzeri Phase-of-Firing Coding of Natural Visual Stimuli in Primary Visual Cortex Current biology 18, 375-380, 2008 , DOI
Robert Legenstein, Steven M. Chase, Andrew B. Schwartz and Wolfgang Maass A model for learning effects in motor cortex that may facilitate the brain control of neuroprosthetic devicesA model for learning effects in motor cortex that may facilitate the brain control of neuroprosthetic devices
Johannes Bill Self-Stabilizing Network Architectures on a Neuromorphic Hardware System
Claudia Clopath, Lars Holger Büsing, Eleni Vasilaki and Wulfram Gerstner A unified voltage-based model for STDP, LTP and LTD
Robert Legenstein Improved neighborhood-based algorithms for large-scale recommender systemsImproved neighborhood-based algorithms for large-scale recommender systems
Stefan Häusler, Klaus Schuch and Wolfgang Maass Motif distribution, dynamical properties, and computational performance of two data-based cortical microcircuit templates
Claudia Clopath, Lorric Ziegler, Eleni Vasilaki, Lars Holger Büsing and Wulfram Gerstner Tag-Trigger-Consolidation: A Model of Early and Late Long-Term-Potentiation and Depression PLoS computational biology 4, e1000248-e1000248, 2008 , DOI
Malte Rasch, A. Gretton, Y. Murayama, Wolfgang Maass and N. K. Logothetis Inferring spike trains from local field potentials Journal of neurophysiology 99, 1461-1476, 2008 , DOI
2007
Herbert Jaeger, Wolfgang Maass and J. C. Principe Introduction to the special issue on echo state networks and liquid state machines Neural networks 20, 287-289, 2007 , DOI
Lars Holger Büsing Simplified rules and theoretical analysis for information bottleneck optimization and PCA with spiking neurons
Prashant Joshi From memory based decisions to decision based movements: A model of interval discrimination followed by action selection Neural networks 20, 298-311, 2007 , DOI
[No Value] D. Nikolic, Stefan Häusler, [No Value] W. Singer and Wolfgang Maass Temporal dynamics of information content carried by neurons in the primary visual cortexTemporal dynamics of information content carried by neurons in the primary visual cortex1041-1048
Wolfgang Maass Liquid computingLiquid computing
Oswin Aichholzer, Franz Aurenhammer, Thomas Hackl and Clemens Huemer Connecting colored point sets Discrete applied mathematics 155, 271-278, 2007
Eilif Muller, Lars Holger Büsing, Johannes Schemmel and Karlheinz Meier Spike-Frequency Adapting Neural Ensembles: Beyond Mean Adaptation and Renewal Theories Neural computation 19, 2958-3010, 2007
Robert Albin Legenstein and Wolfgang Maass What makes a dynamical system computationally powerful?What makes a dynamical system computationally powerful?127-154
Helmut Hauser, Gerhard Neumann, [No Value] A. J. Ijspeert and Wolfgang Maass Biologically inspired kinematic synergies provide a new paradigm for balance control of humanoid robotsBiologically inspired kinematic synergies provide a new paradigm for balance control of humanoid robots
Oswin Aichholzer, Franz Aurenhammer, Thomas Hackl and B. Speckmann On (pointed) minimum weight pseudo-triangulationsOn (pointed) minimum weight pseudo-triangulations209-212
Franz Aurenhammer, Johannes Wallner, Martin Peternell and Helmut Pottmann Voronoi diagrams for oriented spheresVoronoi diagrams for oriented spheres33-37
Oswin Aichholzer, Franz Aurenhammer, Clemens Huemer and Birgit Vogtenhuber Gray Code Enumeration of Plane Straight Line Graphs Graphs and combinatorics 23, 467-479, 2007
Oswin Aichholzer, Franz Aurenhammer, Thomas Hackl, Bert Jüttler, Margot Oberneder and Zbynek Sir Computational and structural advantages of circular boundary representationComputational and structural advantages of circular boundary representation374-385
Stefan Häusler and Wolfgang Maass A statistical analysis of information processing properties of lamina-specific cortical microcircuit models. Cerebral cortex 17, 149-162, 2007
Stefan Klampfl, Robert Albin Legenstein and Wolfgang Maass Information Bottleneck Optimization and Independent Component Extraction with Spiking NeuronsInformation Bottleneck Optimization and Independent Component Extraction with Spiking Neurons713-720
Franz Aurenhammer Weighted skeletons and fixed-share decomposition Computational geometry 40, 93-101, 2007
Robert Albin Legenstein Theoretical analysis of learning with reward-modulated spike-timing-dependent plasticity
Arthur Gretton, Karsten M. Borgwardt, Malte Johannes Rasch, Bernhard Schoelkopf and Alex J. Smola A Kernel Method for the Two-Sample-ProblemA Kernel Method for the Two-Sample-Problem
Bernhard Kornberger, Thomas Hackl, Franz Aurenhammer, Oswin Aichholzer, Helmut Pottmann and Martin Peternell Approximating Boundary-Triangulated Objects with BallsApproximating Boundary-Triangulated Objects with Balls130-133
Franz Aurenhammer, M. Peternell, Helmut Pottmann and J. Wallner Voronoi diagrams for oriented spheres
Franz Aurenhammer, B. Speckmann, Oswin Aichholzer and Thomas Hackl On (pointed) minimum weight pseudo-triangulations
Oswin Aichholzer, Franz Aurenhammer, B. Juettler, M. Oberneder, Z. Sir and Thomas Hackl Computational and structural advantages of circular boundary representation
Stefan Häusler, Wolfgang Maass, Wolf Singer and Danko Nikolic Superposition of information in large ensembles of neurons in primary visual cortex.
Oswin Aichholzer, Franz Aurenhammer, Thomas Hackl, B. Kornberger , M. Peternell and Helmut Pottmann Approximating boundary-triangulated objects with balls
Oswin Aichholzer, Franz Aurenhammer and Thomas Hackl Pre-triangulations and liftable complexes Discrete & computational geometry 38, 701-725, 2007
Gerhard Neumann, Michael Pfeiffer and Wolfgang Maass Efficient Continuous-Time Reinforcement Learning with Adaptive State GraphsEfficient Continuous-Time Reinforcement Learning with Adaptive State Graphs
David Sussillo, Taro Toyoizumi and Wolfgang Maass Self-tuning of neural circuits through short-term synaptic plasticity Journal of neurophysiology 97, 4079-4095, 2007 , DOI
Wolfgang Maass, Prashant Joshi and Eduardo Sontag Computational aspects of feedback in neural circuits PLoS computational biology 3, 1-20, 2007
David Sussillo, [No Value] Toyoizumi T. and Wolfgang Maass Self-tuning of neural circuits through short-term synaptic plasticity
Robert Albin Legenstein and Wolfgang Maass Edge of Chaos and Prediction of Computational Performance for Neural Circuit Models Neural networks 20, 323-333, 2007
2006
Marian Kepesi, Van Tuan Pham, Gernot Kubin, Luis Weruaga, Andreas Juffinger and Michael Grabner Noise Cancellation Frontends for Automatic Meeting TranscriptionNoise Cancellation Frontends for Automatic Meeting Transcription999-999
Franz Aurenhammer, [No Value] M. Peternell, [No Value] H. Pottmann and [No Value] J. Wallner Voronoi diagrams for oriented spheres
Oswin Aichholzer, Franz Aurenhammer, C. Huemer and Hannes Krasser Transforming spanning trees and pseudo-triangulations Information processing letters 97, 19-22, 2006
Marian Kepesi, Michael Neffe, Van Tuan Pham, Michael Grabner and Andreas Juffinger Audio-Visual Feature Extraction for Semi-Automatic Annotation of Meetings,Audio-Visual Feature Extraction for Semi-Automatic Annotation of Meetings,999-999
Franz Aurenhammer and [No Value] Krasser H Pseudo-simplicial complexes from maximal locally convex functions Discrete & computational geometry 35, 201-221, 2006
Oswin Aichholzer, Franz Aurenhammer, Thomas Hackl, B. Juettler, M. Oberneder and Z. Sir Computational and structural advantages of circular boundary representation
Franz Aurenhammer, B. Kornberger , M. Peternell , H. Pottmann, Oswin Aichholzer and Thomas Hackl Approximating boundary-triangulated objects with balls
Wolfgang Maass and H. Markram Theory of the computational function of microcircuit dynamicsTheory of the computational function of microcircuit dynamics371-390
Andreas Opelt, Axel Pinz, Michael Fussenegger and Peter Auer Generic Object Recognition with Boosting IEEE transactions on pattern analysis and machine intelligence 28, 416-431, 2006
Y. Fregnac, M. Blatow, J.-P. Changeux, J. DeFelipe, A. Lansner, Wolfgang Maass, D. A. McCormick, C. M. Michel, H. Monyer, E. Szathmary and R. Yuste UPs and DOWNs in cortical computationUPs and DOWNs in cortical computation393-433
Oswin Aichholzer, Franz Aurenhammer, C. Huemer and Birgit Vogtenhuber Gray code enumeration of plane straight-line graphsGray code enumeration of plane straight-line graphs71-74
Stefan Klampfl, Robert Albin Legenstein and Wolfgang Maass Information Bottleneck Optimization and Independent Component Extraction with Spiking Neurons
Franz Aurenhammer, R. L. S. Drysdale and Hannes Krasser Farthest line segment Voronoi diagrams Information processing letters 100, 220-225, 2006
Kei Uchizawa, Rodney Douglas and Wolfgang Maass On the computational power of threshold circuits with sparse activity Neural computation 18, 2995-3008, 2006
Franz Aurenhammer, [No Value] R. L. S. Drysdale and [No Value] H. Krasser Farthest line segment Voronoi diagrams
Prashant Joshi Modeling working memory and decision making using generic neural microcircuitsModeling working memory and decision making using generic neural microcircuits515-524
Stefan Klampfl, Robert Albin Legenstein and Wolfgang Maass Extracting Independent Components with Spiking Neurons
Oswin Aichholzer, Franz Aurenhammer and Thomas Hackl Pre-triangulations and liftable complexesPre-triangulations and liftable complexes282-291
Stefan Häusler and Wolfgang Maass Computational consequences of lamina-specific structure in cortical microcircuit models
Oswin Aichholzer, Franz Aurenhammer and Thomas Hackl Connecting colored point sets
Karsten M. Borgwardt, Arthur Gretton, Malte Johannes Rasch, Hans-Peter Kriegel, Bernhard Schoelkopf and Alex J. Smola Integrating structured biological data by Kernel Maximum Mean Discrepancy Bioinformatics 22, e49-e57, 2006
Oswin Aichholzer, Franz Aurenhammer, C. Huemer and Hannes Krasser Transforming spanning trees and pseudo-triangulations
Robert Albin Legenstein and Wolfgang Maass A criterion for the convergence of learning with spike timing dependent plasticityA criterion for the convergence of learning with spike timing dependent plasticity763-770
Wolfgang Maass Book review of "Imitation of life: how biology is inspiring computing" by Nancy Forbes Pattern analysis and applications 8, 390-391, 2006
Robert Albin Legenstein Analysis of Neural Microcircuits on the Systems Level
Oswin Aichholzer, Franz Aurenhammer and Hannes Krasser On the crossing number of complete graphs Computing <Wien> 76, 165-176, 2006
Stefan Klampfl Extracting Statistically Independent Components with a Generalized BCM Rule for Spiking Neurons
K. Uchizawa, Rodney Douglas and Wolfgang Maass Energy complexity and entropy of threshold circuitsEnergy complexity and entropy of threshold circuits631-642
Franz Aurenhammer and [No Value] H. Krasser Pseudo-simplicial complexes from maximal locally convex functions
Stefan Häusler and Wolfgang Maass Computational consequences of lamina-specific structure in cortical microcircuit models.
Wolfgang Maass, Prashant Joshi and Eduardo Sontag Principles of real-time computing with feedback applied to cortical microcircuit modelsPrinciples of real-time computing with feedback applied to cortical microcircuit models835-842
Alexander Kaske and Wolfgang Maass A model for the interaction of oscillations and pattern generation with real-time computing in generic neural microcircuit models Neural networks 19, 600-609, 2006
Johannes Bill Resonant quantum dynamics of neutral spin-1 particles in a magnetic guide Physical review / A , 53609-1-53609-9, 2006 , DOI
2005
Oswin Aichholzer, Franz Aurenhammer, C. Huemer and Hannes Krasser Transforming spanning trees and pseudo-triangulationsTransforming spanning trees and pseudo-triangulations81-84
Robert Albin Legenstein and Wolfgang Maass Wire length as a circuit complexity measure Journal of computer and system sciences 70, 53-72, 2005
Robert Albin Legenstein, Christian Näger and Wolfgang Maass What can a neuron learn with spike-timing-dependent plasticity? Neural computation 17, 2337-2382, 2005
Robert Albin Legenstein Real-time computations and self organized criticality in recurrent neural networks
Thomas Natschläger, Nils Bertschinger and Robert Albin Legenstein At the edge of chaos: Real-time computations and self-organized criticality in recurrent neural networksAt the edge of chaos: Real-time computations and self-organized criticality in recurrent neural networks145-152
Franz Aurenhammer Pre-triangulations: A generalization of Delaunay triangulations and flipsPre-triangulations: A generalization of Delaunay triangulations and flips235-235
Harald Michael Burgsteiner, Mark Kröll, Alexander Leopold and Gerald Steinbauer Movement Prediction from real-world Images using a Liquid State MachineMovement Prediction from real-world Images using a Liquid State Machine121-130
Oswin Aichholzer, Franz Aurenhammer, P. Gonzalez-Nava, Thomas Hackl, C. Huemer, F. Hurtado, Hannes Krasser, S. Ray and Birgit Vogtenhuber Matching edges and faces in polygonal partitionsMatching edges and faces in polygonal partitions123-126
Prashant Joshi and Wolfgang Maass Movement generation with circuits of spiking neurons Neural computation 17, 1715-1738, 2005
D. Goswami, Klaus Schuch, Yi Zheng, T. De Marse and J. C. Principe Towards the modeling of dissociated cortical tissue in the liquid state machine frameworkTowards the modeling of dissociated cortical tissue in the liquid state machine framework2179-2183
Wolfgang Maass, Prashant Joshi and Eduardo Sontag Principles of real-time computing with feedback applied to cortical microcircuit models
Franz Aurenhammer and Hannes Krasser Pseudo-tetrahedral complexesPseudo-tetrahedral complexes85-88
Michael Pfeiffer Reinforcement Learning of Strategies for Settlers of Catan
B. Aronov, Oswin Aichholzer, Franz Aurenhammer, F. Hurtado, S. Langerman, D. Rappaport, S. Smorodinsky and C. Seara Small weak epsilon netsSmall weak epsilon nets51-54
Michael Pfeiffer, Amir Saffari and Andreas Juffinger Predicting Text Relevance from Sequential Reading BehaviorPredicting Text Relevance from Sequential Reading Behavior1-6
Robert Albin Legenstein A criterion for the convergence of learning with spike timing dependent plasticity
Stefan Häusler and Wolfgang Maass Computational consequences of lamina-specific structure in cortical microcircuit models
Alexander Kaske and Nils Bertschinger Travelling wave patterns in a model for the spinal pattern generator using spiking neurons Biological cybernetics 92, 206-218, 2005 , DOI
Wolfgang Maass, Robert Albin Legenstein and Nils Bertschinger Methods for estimating the computational power and generalization capability of neural microcircuitsMethods for estimating the computational power and generalization capability of neural microcircuits865-872
Thomas Natschläger and Wolfgang Maass Dynamics of information and emergent computation in generic neural microcircuit models Neural networks , 1301-1308, 2005
2004
Andreas Juffinger, Ahmed Patel and Nikita Schmidt Focused Multimedia Crawling - Distributed Evaluation FrameworkFocused Multimedia Crawling - Distributed Evaluation Framework34-37
Andreas Opelt, Michael Fussenegger, Axel Pinz and Peter Auer Generic object recognition with boosting
Oswin Aichholzer, C. Huemer and Hannes Krasser Triangulations without pointed spanning trees - extended abstractTriangulations without pointed spanning trees - extended abstract221-224
Wolfgang Maass and Henry Markram On the computational power of recurrent circuits of spiking neurons Journal of computer and system sciences 69, 593-616, 2004
Wolfgang Maass, Thomas Natschläger and Henry Markram Computational models for generic cortical microcircuitsComputational models for generic cortical microcircuits575-605
Ofer Melamed, Wulfram Gerstner, Wolfgang Maass, Misha Tsodyks and Henry Markram Coding and learning of behavioral sequences Trends in neurosciences 27, 11-14, 2004
Oswin Aichholzer, Franz Aurenhammer and B. Palop Quickest paths, straight skeletons, and the city Voronoi diagram Discrete & computational geometry 31, 17-35, 2004
Wolfgang Maass and Thomas Natschläger Information dynamics and emergent computation in recurrent circuits of spiking neuronsInformation dynamics and emergent computation in recurrent circuits of spiking neurons1255-1262
Michael Pfeiffer Machine Learning Applications in Computer Games ÖGAI-Journal 23, 4-7, 2004
Robert Albin Legenstein Methods of Estimating the Computational Power and Generalization Capability of Neural Microcircuits
Nils Bertschinger and Thomas Natschläger Real-time computation at the edge of chaos in recurrent neural networks. Neural computation 16, 1413-1436, 2004
Michael Fussenegger, Andreas Opelt, Axel Pinz and Peter Auer Object recognition using segmentation for feature detectionObject recognition using segmentation for feature detection103-110
Michael Pfeiffer Reinforcement Learning of Strategies for Settlers of CatanReinforcement Learning of Strategies for Settlers of Catan384-388
Oswin Aichholzer, Franz Aurenhammer, H. Krasser and B. Speckmann Convexity minimizes pseudo-triangulations Computational geometry 28, 3-10, 2004
Prashant Joshi and Wolfgang Maass Movement generation and control with generic neural microcircuitsMovement generation and control with generic neural microcircuits258-273
2003
Stefan Häusler, Henry Markram and Wolfgang Maass Perspectives of the high dimensional dynamics of neural microcircuits from the point of view of low dimensional readouts Complexity 8, 39-50, 2003
Oswin Aichholzer, Franz Aurenhammer, P. Brass and Hannes Krasser Pseudo-triangulations from surfaces and a novel type of edge flip SIAM journal on computing 32, 1621-1653, 2003
Wolfgang Maass Computation with spiking neuronsComputation with spiking neurons1080-1083
Wolfgang Maass, Thomas Natschläger and Henry Markram A model for real-time computation in generic neural microcircuitsA model for real-time computation in generic neural microcircuits229-236
Franz Aurenhammer Pseudo-simplices and their derivationPseudo-simplices and their derivation11-11
Wolfgang Maass and Henry Markram Temporal integration in recurrent microcircuitsTemporal integration in recurrent microcircuits1159-1163
Michael Pfeiffer Machine Learning Application in Computer Games
Robert Albin Legenstein, Henry Markram and Wolfgang Maass Input prediction and autonomous movement analysis in recurrent circuit of spiking neurons Reviews in the neurosciences 14, 5-19, 2003
Oswin Aichholzer, Franz Aurenhammer, P. Brass and Hannes Krasser Spatial Embedding of Pseudo-TriangulationsSpatial Embedding of Pseudo-Triangulations144-153
Oswin Aichholzer, E. Bremner, E. D. Demaine, F. Hurtado, E. Kranakis, Hannes Krasser, S. Ramaswami, S. Sethia and J. Urrutia Geometric games on triangulationsGeometric games on triangulations89-92
Hannes Krasser Order types of point sets in the plane
Frank Kappe, Georg Droschl, Wolfgang Kienreich, Vedran Sabol, Jutta Becker, Keith Andrews, Michael Granitzer, Klaus Tochtermann and Peter Auer InfoSky: Visual Exploration of Large Hierarchical Document RepositoriesInfoSky: Visual Exploration of Large Hierarchical Document Repositories1268-1272
Thomas Natschläger, Wolfgang Maass and Henry Markram Computer models and analysis tools for neural microcircuitsComputer models and analysis tools for neural microcircuits123-138
Peter L. Bartlett and Wolfgang Maass Vapnik-Chervonenkis dimension of neural netsVapnik-Chervonenkis dimension of neural nets1188-1192
Oswin Aichholzer, Franz Aurenhammer, F. Hurtado and Hannes Krasser Towards compatible triangulations Theoretical computer science 296, 3-13, 2003
2002
Oswin Aichholzer, Franz Aurenhammer and H. Krasser Points and combinatorics Telematik 8, 12-17, 2002
Frank Kappe, Georg Droschl, Wolfgang Kienreich, Vedran Sabol, Jutta Becker, Keith Andrews, Michael Granitzer, Klaus Tochtermann and Peter Auer InfoSky: Eine neue Technologie zur Erforschung großer, hierarchischer WissensräumeInfoSky: Eine neue Technologie zur Erforschung großer, hierarchischer Wissensräume
Robert Albin Legenstein The wire-length complexity of neural networks
Oswin Aichholzer, Franz Aurenhammer, Bernhard Brandstätter, Thomas Ebner, Hannes Krasser, Christian Magele and Martin Mühlmann Evolution strategy and hierarchical clustering IEEE transactions on magnetics 38, 1041-1044, 2002
Lars Holger Büsing Simplified rules and theoretical analysis for information bottleneck optimization and PCA with spiking neurons
Oswin Aichholzer, Franz Aurenhammer and Belén Palop Quickest paths, straight skeletons, and the city Voronoi diagramQuickest paths, straight skeletons, and the city Voronoi diagram151-159
Oswin Aichholzer and Franz Aurenhammer Voronoi diagrams - computational geometry's favorite Telematik 8, 7-11, 2002
Keith Andrews, Wolfgang Kienreich, Vedran Sabol, Jutta Becker, Georg Droschl, Frank Kappe, Michael Granitzer, Peter Auer and Klaus Tochtermann The InfoSky Visual Explorer: Exploiting Hierarchical Structure and Document Similarities Information visualization 1, 166-181, 2002 , DOI
Wolfgang Maass, Gerald Steinbauer and Roland Koholka Autonomous fast learning in a mobile robotAutonomous fast learning in a mobile robot345-356
Oswin Aichholzer, Franz Aurenhammer and H. Krasser Progress on rectilinear crossing numbers
2001
Oswin Aichholzer, Franz Aurenhammer, Christian Icking, Rolf Klein, Elmar Langetepe and Günter Rote Generalized self-approaching curves Discrete applied mathematics 109, 3-24, 2001
Oswin Aichholzer, Franz Aurenhammer, B. Brandtstätter, H. Krasser, Christian Magele, Martin Mühlmann and Werner Renhart Evolution Strategy and Hierarchical ClusteringEvolution Strategy and Hierarchical Clustering?-?
Oswin Aichholzer, Franz Aurenhammer and H. Krasser Enumerating order types for small point sets with applicationsEnumerating order types for small point sets with applications11-18
Stefan Häusler, Wolfgang Maass and Henry Markram Readout neurons in neural microcircuits
Stefan Häusler, Wolfgang Maass and Henry Markram Evolution of internal states of neural microcircuits
Oswin Aichholzer, Franz Aurenhammer, F. Hurtado and H. Krasser Towards Compatible TriangulationsTowards Compatible Triangulations101-110
2000
Wolfgang Maass, Axel Pinz, Reinhard Braunstingl, Gerhard Wiesspeiner, Thomas Natschläger, Oliver Friedl and Harald Michael Burgsteiner Konstruktion von Lernfähigen Robotern im Studentenwettbewerb "Robotik 2000" an der Technischen Universität Graz Telematik , 20-24, 2000 , Link
Oswin Aichholzer, Franz Aurenhammer and F. Hurtado Edge Operations on Non-Crossing Spanning TreesEdge Operations on Non-Crossing Spanning Trees121-125
Oswin Aichholzer, Franz Aurenhammer, B. Brandtstätter, Thomas Ebner, H. Krasser and Christian Magele Niching evolution strategy with cluster algorithmsNiching evolution strategy with cluster algorithms?-?
1999
Oswin Aichholzer, Franz Aurenhammer and Reinhard Hainz New results on MWT subgraphs Information processing letters 69, 215-219, 1999
Robert Albin Legenstein Effizientes Layout von Neuronalen Netzen
Oswin Aichholzer, Franz Aurenhammer, Danny Z. Chen, D.T. Lee and Evanthia Papadopoulou Skew Voronoi diagrams International journal of computational geometry and applications 9, 235-247, 1999 , DOI
1998
Oswin Aichholzer and Franz Aurenhammer Straight skeletons for general polygonal figures in the planeStraight skeletons for general polygonal figures in the plane7-21
Oswin Aichholzer, Franz Aurenhammer, Christian Icking, Rolf Klein, Elmar Langetepe and Günter Rote Generalized self-approaching curvesGeneralized self-approaching curves15-18
Oswin Aichholzer, Franz Aurenhammer, Christian Icking, Rolf Klein, Elmar Langetepe and Günter Rote Generalized self-approaching curvesGeneralized self-approaching curves317-326
Oswin Aichholzer, Franz Aurenhammer, Günter Rote and Yinfeng Xu Constant-level greedy triangulations approximate the MWT well Journal of combinatorial optimization 2, 361-369, 1998
1997
Oswin Aichholzer, Reinhard Hainz and Franz Aurenhammer New results on minimum-weight triangulations and the LMT skeletonNew results on minimum-weight triangulations and the LMT skeleton4-6
1996
Oswin Aichholzer and Franz Aurenhammer Straight skeletons for general polygonal figuresStraight skeletons for general polygonal figures117-126
Oswin Aichholzer, Franz Aurenhammer, Günter Rote and Yinfeng Xu Constant-level greedy triangulations approximate the MWT wellConstant-level greedy triangulations approximate the MWT well309-318
Oswin Aichholzer, Franz Aurenhammer, Günter Rote and Yinfeng Xu New greedy triangulation algorithmsNew greedy triangulation algorithms11-14
Oswin Aichholzer and Franz Aurenhammer Straight skeletons for general polygonal figures in the planeStraight skeletons for general polygonal figures in the plane117-126
Oswin Aichholzer, S.-W. Cheng, N. Katoh, Günter Rote, M. Taschwer, Yinfeng Xu and Franz Aurenhammer Triangulations intersect nicely Discrete & computational geometry 16, 339-359, 1996
1995
Oswin Aichholzer and Franz Aurenhammer Straight skeletons for general polygonal figures
Oswin Aichholzer, D. Alberts, Franz Aurenhammer and B. Gärtner Straight skeletons of simple polygonsStraight skeletons of simple polygons114-124
Oswin Aichholzer, Franz Aurenhammer and Günter Rote Optimal graph orientation with storage applications
Oswin Aichholzer, D. Alberts, Franz Aurenhammer and B. Gärtner A novel type of skeleton for polygons Journal of universal computer science 1, 752-761, 1995
1994
Franz Aurenhammer, [No Value] Forman M., [No Value] Idury R., [No Value] Schäffer A. and [No Value] Wagner F. Faster isometric embedding in products of complete graphs Discrete applied mathematics 52, 17-28, 1994
Oswin Aichholzer and Franz Aurenhammer Classifying hyperplanes in hypercubesClassifying hyperplanes in hypercubes53-57
Oswin Aichholzer and Franz Aurenhammer Classifying hyperplanes in hypercubes
1993
Franz Aurenhammer Geometric clustering and Voronoi-type partitionsGeometric clustering and Voronoi-type partitions93-94
Franz Aurenhammer Voronoi diagrams - a survey of a fundamental geometric data structure ACM computing surveys , 131-185, 1993

2017
Zeno Jonke, Robert Legenstein, Stefan Habenschuss and Wolfgang Maass Feedback Inhibition Shapes Emergent Computational Properties of Cortical Microcircuit Motifs The journal of neuroscience 37, 8511– 8523, 2017 , Link
Christoph Pokorny, Matias Ison, Robert Legenstein and Wolfgang Maass A model for the formation of associations between memory items in the brain
Guillaume Bellec, David Kappel, Wolfgang Maass and Robert Legenstein Deep Rewiring arXiv.org e-Print archive , 2017 , Link
Christoph Pokorny, Matias Ison, Arjun Rao, Robert Legenstein, Christos H. Papadimitriou and Wolfgang Maass Associations between memory traces emerge in a generic neural circuit model through STDP bioRxiv - the Preprint Server for Biology , 1-36, 2017 , DOI , Link
David Kappel, Robert Legenstein, Stefan Habenschuss, Michael Hsieh and Wolfgang Maass Reward-based stochastic self-configuration of neural circuits arXiv.org e-Print archive arXiv preprint arXiv:1704.04238, 2017 , Link
Mihai A. Petrovici, Sebastian Schmitt, Johann Klähn, David Stöckel, Anna Schroeder, Guillaume Bellec, Johannes Bill, Oliver Breitwieser, Ilja Bytschok, Andreas Grübl, Maurice Güttler, Andreas Hartel, Stephan Hartmann, Dan Husmann, Kai Husmann, Sebastian Jeltsch, Vitali Karasenko, Mitja Kleider, Christoph Koke, Alexander Kononov, Christian Mauch, Paul Müller, Johannes Partzsch, Thomas Pfeil, Stefan Schiefer, Stefan Scholze, Anand Subramoney, Vasilis Thanasoulis, Bernhard Vogginger, Robert Legenstein, Wolfgang Maass, René Schüffny, Christian Mayr, Johannes Schemmel and Karlheinz Meier Pattern representation and recognition with accelerated analog neuromorphic systems arXiv.org e-Print archive preprint arXiv:1703.06043, 2017
Sebastian Schmitt, Johann Klähn, Guillaume Emmanuel Fernand Bellec, Andreas Grübl, Güttler Maurice, Andreas Hartl, Stephan Hartmann, Dan Husmann, Kai Husmann, Sebastian Jeltsch, Vitali Karasenko, Mitja Kleider, Christoph Koke, Alexander Kononov, Christian Mauch, Eric Müller, Paul Müller, Johannes Partzsch, Mihai Petrovici, Stefan Schiefer, Stefan Scholze, Vasilis Thanasoulis, Bernhard Vogginger, Robert Legenstein, Wolfgang Maass, Christian Mayr, Rene Schüffny, Johannes Schemmel and Karlheinz Meier Neuromorphic Hardware In The Loop: Training a Deep Spiking Network on the BrainScaleS Wafer-Scale System arXiv.org e-Print archive arXiv:1703.01909, 2017
Robert Legenstein, Zeno Jonke, Stefan Habenschuss and Wolfgang Maass A probabilistic model for learning in cortical microcircuit motifs with data-based divisive inhibition arXiv.org e-Print archive , 1-27, 2017 , DOI
2016
Alexander Serb, Johannes Bill, Ali Khiat, Radu Berdan, Robert Legenstein and Themis Prodromakis Unsupervised learning in probabilistic neural networks with multi-state metal-oxide memristive synapses Nature Communications , Nature Communications, Nature Communications, Nature Communications, Nature Communications, Nature Communications 7, 2016
Dejan Pecevski and Wolfgang Maass Learning Probabilistic Inference through Spike-Timing-Dependent Plasticity eNeuro 3, 2016 , DOI
Robert Legenstein, Christos H. Papadimitriou, Santosh Vempala and Wolfgang Maass Assembly pointers for variable binding in networks of spiking neurons arXiv.org e-Print archive preprint arXiv:1611.03698, 2016
Wolfgang Maass Energy-efficient neural network chips approach human recognition capabilities Proceedings of the National Academy of Sciences of the United States of America 113, doi/10.1073/pnas.1614109113, 2016
F.B. Pokorny, B. W. Schuller, Robert Peharz, Franz Pernkopf, K.D. Bartl-Pokorny, C. Einspieler and P.B. Marschik Contributing to the early identification of neurodevelopmental disorders: The retrospective analysis of pre-linguistic vocalisations in home video materialContributing to the early identification of neurodevelopmental disorders: The retrospective analysis of pre-linguistic vocalisations in home video material
Zhaofei Yu, David Kappel, Robert Legenstein, Sen Song, Feng Chen and Wolfgang Maass Hamiltonian synaptic sampling in a model for reward-gated network plasticity arXiv.org e-Print archive , 2016 , Link
Zeno Jonke, Stefan Habenschuss and Wolfgang Maass Solving constraint satisfaction problems with networks of spiking neurons Frontiers in neuroscience , 2016 , DOI , Link
Wolfgang Maass Searching for principles of brain computation Current Opinion in Behavioral Sciences 11, 81-92, 2016 , Link
Christoph Pokorny, Christian Breitwieser and Gernot Müller-Putz The role of transient target stimuli in a steady-state somatosensory evoked potential-based brain-computer interface setup Frontiers in neuroscience 10, 2016
Behnam Taraghi, Anna Saranti, Robert Legenstein and Martin Ebner Bayesian modelling of student misconceptions in the one-digit multiplication with probabilistic programming
Franz Aurenhammer, Günter Paulini and Bert Jüttler Voronoi diagrams for parallel halflines in 3DVoronoi diagrams for parallel halflines in 3D
Franz Aurenhammer and Gernot Christian Walzl Straight Skeletons and Mitered Offsets of Nonconvex Polytopes Discrete & computational geometry 56, 743-801, 2016
2015
David Kappel, Stefan Habenschuss, Robert Legenstein and Wolfgang Maass Synaptic sampling: A Bayesian approach to neural network plasticity and rewiringSynaptic sampling: A Bayesian approach to neural network plasticity and rewiring
David Kappel, Stefan Habenschuss, Robert Legenstein and Wolfgang Maass Synaptic Plasticity as Bayesian Inference
Wolfgang Aigner, Franz Aurenhammer and Bert Jüttler On Triangulation Axes of Polygons Information processing letters 115, 45-51, 2015
Wolfgang Maass, David Kappel, Stefan Habenschuss and Robert Legenstein Reward-based network plasticity as Bayesian inference
Petar Horki, Daniela S. Klobassa, Christoph Pokorny and Gernot Müller-Putz Evaluation of Healthy EEG Responses for Spelling through Listener-Assisted Scanning IEEE journal of biomedical and health informatics 19, 29-36, 2015 , DOI
Wolfgang Maass To spike or not to spike: That is the question. Proceedings of the IEEE 103, 2219-2224, 2015 , DOI
Oswin Aichholzer, Franz Aurenhammer, Wolfgang Aigner, Bert Jüttler, Katerina Dobiásová and G. Rote Triangulations with circular arcs Journal of Graph Algorithms and Applications , 43-65, 2015
Johannes Bill, Lars Holger Büsing, Stefan Habenschuss, Bernhard Nessler, Wolfgang Maass and Robert Legenstein Distributed Bayesian computation and self-organized learning in sheets of spiking neurons with local lateral inhibition PLoS ONE 10, e0134356-e0134356, 2015
David Kappel, Stefan Habenschuss, Robert Legenstein and Wolfgang Maass Network plasticity as Bayesian inference PLoS computational biology 11, e1004485-e1004485, 2015
Robert Legenstein Nanoscale connections for brain-like circuits Nature (London) 521, 37-38, 2015
Oswin Aichholzer, Franz Aurenhammer, Thomas Hackl, Alexander Pilz, Birgit Vogtenhuber and Clemens Huemer 3-Colorability of Pseudo-Triangulations International journal of computational geometry and applications , 283-298, 2015
Christoph Pokorny, Gernot Griesbacher, Zeno Jonke and Robert Legenstein Neural Computation with Assemblies and Assembly Sequences
Robert Legenstein, David Kappel, Stefan Habenschuss and Wolfgang Maass Stochastic network plasticity as Bayesian inference
2014
David Kappel STDP installs in winner-take-all circuits an online approximation to hidden Markov model learning
Zeno Jonke, Stefan Habenschuss and Wolfgang Maass A theoretical basis for efficient computations with noisy spiking neurons arXiv.org e-Print archive , 2014
Gernot Griesbacher Cell assembly self-organization in ensembles of pyramidal cells with relaxed lateral inhibition
Franz Aurenhammer and Gernot Christian Walzl Three-dimensional straight skeletons from bisector graphsThree-dimensional straight skeletons from bisector graphs1-13
Christoph Pokorny, Gerald Pichler, Damien Lesenfants, Quentin Noirhomme, Steven Laureys and Gernot Müller-Putz Steady-State Somatosensory Evoked Potentials in Minimally Conscious Patients – Challenges and PerspectivesSteady-State Somatosensory Evoked Potentials in Minimally Conscious Patients – Challenges and Perspectives055-1-055-4
Gernot Christian Walzl and Franz Aurenhammer Polytope Offsets and Straight Skeletons in 3DPolytope Offsets and Straight Skeletons in 3D98-99
David Kappel, Bernhard Nessler and Wolfgang Maass STDP Installs in Winner-Take-All Circuits an Online Approximation to Hidden Markov Model Learning PLoS computational biology 10, 1-22, 2014 , DOI
Petar Horki, Günther Bauernfeind, Daniela S. Klobassa, Christoph Pokorny, Gerald Pichler, Walter Schippinger and Gernot Müller-Putz Detection of mental imagery and attempted movements in patients with disorders of consciousness using EEG Frontiers in Human Neuroscience 8, 1-9, 2014 , DOI
Robert Legenstein and Wolfgang Maass Ensembles of spiking neurons with noise support optimal probabilistic inference in a dynamically changing environment PLoS computational biology 10, 1-27, 2014 , DOI
D. Lesenfants, D. Habbal, Z. Lugo, M. Lebeau, Petar Horki, E. Amico, Christoph Pokorny, F. Gomez, A. Soddu, Gernot Müller-Putz, S. Laureys and Q. Noirhomme An independent SSVEP-based brain-computer interface in locked-in syndrome Journal of neural engineering 11, 2014 , DOI
Wolfgang Maass Noise as a resource for computation and learning in networks of spiking neurons Proceedings of the IEEE 102, 860-880, 2014 , DOI
Dejan Pecevski, David Kappel and Zeno Jonke NEVESIM: event-driven neural simulation framework with a Python interface Frontiers in neuroinformatics 8, 1-20, 2014 , DOI
Oswin Aichholzer, Franz Aurenhammer, Thomas Hackl, Ferran Hurtado, Alexander Pilz, Pedro Ramos, Jorge Urrutia, Pavel Valtr and Birgit Vogtenhuber On k-Convex Point Sets Computational geometry 47, 809-832, 2014 , DOI
Johannes Bill and Robert Legenstein A compound memristive synapse model for statistical learning through STDP in spiking neural networks Frontiers in neuroscience 8, 1-18, 2014
Christoph Pokorny, Gerald Pichler, Damien Lesenfants, Quentin Noirhomme, Steven Laureys and Gernot Müller-Putz Steady-State Somatosensory Evoked Potentials in Minimally Conscious Patients – Challenges and Perspectives
Robert Legenstein A comparison of manual neuronal reconstruction from biocytin histology or 2-photon imaging: morphometry and computer modeling Frontiers in Neuroanatomy 8, 65-65, 2014
Franz Aurenhammer and Günter Paulini On shape Delaunay tessellations Information processing letters 114, 535-541, 2014 , DOI
Franz Aurenhammer, Bing Su, Yinfeng Xu and Binhai Zhu A note on visibility-constrained Voronoi diagrams Discrete applied mathematics 174, 52-56, 2014 , DOI
Robert Legenstein Recurrent network models, reservoir computingRecurrent network models, reservoir computing1-5
Christoph Guger, Bettina Sorger, Q. Noirhomme, Lorina Naci, Martin M. Monti, Ruben Real, Christoph Pokorny, Sandra Veser, Zulay Lugo, Lucia Quitadamo, D. Lesenfants, Monica Risetti, Rita Formisano, Jlenia Toppi, Laura Astolfi, Thomas Emmerling, Lizette Heine, Helena Erlbeck, Petar Horki, Boris Kotchoubey, Luigi Bianchi, Donatella Mattia, Rainer Goebel, Adrian M. Owen, Frederic Pellas, Gernot Müller-Putz, S. Laureys, Andrea Kübler and Febo Cincotti Brain-Computer Interfaces for Assessment and Communication in Disorders of ConsciousnessBrain-Computer Interfaces for Assessment and Communication in Disorders of Consciousness181-214
Christoph Pokorny, Christian Breitwieser and Gernot Müller-Putz A Tactile Stimulation Device for EEG Measurements in Clinical Use IEEE transactions on biomedical circuits and systems 8, 305-312, 2014 , DOI
Gernot Griesbacher Self-organization in spiking neural networks
Gregor Michael Hörzer, Robert Legenstein and Wolfgang Maass Emergence of complex computational structures from chaotic neural networks through reward-modulated Hebbian learning Cerebral cortex 24, 677-690, 2014 , DOI
2013
Stefan Habenschuss, Zeno Jonke and Wolfgang Maass Networks of spiking neurons with noise have an inherent capability to generate heuristic solutions to complex constraint satisfaction problems
Stefan Klampfl and Wolfgang Maass Emergence of dynamic memory traces in cortical microcircuit models through STDP The journal of neuroscience 33, 11515-11529, 2013
Johannes Bill, Lars Buesing, Stefan Habenschuss, Bernhard Nessler, Robert Legenstein and Wolfgang Maass Local inhibition facilitates synaptic learning in spatially extended Bayesian spiking networks
Christoph Pokorny, Daniela Klobassa, Gerald Pichler, Helena Erlbeck, Ruben Real, Andrea Kübler, Damien Lesenfants, Dina Habbal, Quentin Noirhomme, Monica Risetti, Donatella Mattia and Gernot Müller-Putz The auditory P300-based single-switch brain-computer interface: Paradigm transition from healthy subjects to minimally conscious patients Artificial intelligence in medicine 59, 81-90, 2013
Elmar Rückert Learned parametrized dynamic movement primitives with shared synergies for controlling robotic and musculoskeletal systems. Frontiers in Computational Neuroscience 7, 1-18, 2013 , DOI
Bernhard Nessler, Michael Pfeiffer, Lars Buesing and Wolfgang Maass Bayesian computation emerges in generic cortical microcircuits through spike-timing-dependent plasticity PLoS computational biology 9, e1003037-e1003037, 2013
Petar Horki, Daniela S. Klobassa, Christoph Pokorny and Gernot Müller-Putz Auditorily elicited neural oscillations associated with motor execution, motor imagery and non-motor mental tasks.
Gernot Müller-Putz, Christoph Pokorny, Daniela S. Klobassa, Gerald Pichler and Petar Horki EEG-Based Communication With Patients in Minimally Conscious State
Petar Horki, Daniela S. Klobassa, Christoph Pokorny and Gernot Müller-Putz Auditorily elicited neural oscillations associated with motor execution, motor imagery and non-motor mental tasksAuditorily elicited neural oscillations associated with motor execution, motor imagery and non-motor mental tasks1-2
Stefan Habenschuss, Johannes Bill and Bernhard Nessler Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraintsHomeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraints782-790
Elmar Rückert and Andrea d'Avella Learned Muscle Synergies as Prior in Dynamical Systems for Controlling Bio-mechanical and Robotic SystemsLearned Muscle Synergies as Prior in Dynamical Systems for Controlling Bio-mechanical and Robotic Systems
D. Lesenfants, D. Habbal, Christoph Pokorny, C. Chatelle, Petar Horki, F. Gomez, A. Soddu, Gernot Müller-Putz, S. Laureys and Q. Noirhomme Implementation of a new independent SSVEP-based BCIImplementation of a new independent SSVEP-based BCI304-305
Gernot Christian Walzl and Franz Aurenhammer Structure and Computation of Straight Skeletons in 3-SpaceStructure and Computation of Straight Skeletons in 3-Space44-54
Gernot Griesbacher Structure and Self Organization in Spiking Neural Networks
D. Lesenfants, D. Habbal, Christoph Pokorny, C. Chatelle, Petar Horki, F. Gomez, A. Soddu, Gernot Müller-Putz, S. Laureys and Q. Noirhomme Implementation of a new independent SSVEP-based BCI
Elmar Rückert, David Kappel, Gerhard Neumann, Marc Toussaint and Wolfgang Maass Principles for an Alternative Design of Movement Primitives that Uses Probabilistic Inference in Learned Graphical Models
Elmar Rückert, Gerhard Neumann, Marc Toussaint and Wolfgang Maass Learned graphical models for probabilistic planning provide a new class of movement primitives Frontiers in Computational Neuroscience 6, 1-20, 2013 , DOI
Stefan Habenschuss, Zeno Jonke and Wolfgang Maass Stochastic Computations in Cortical Microcircuit Models PLoS computational biology 9, e1003311-e1003311, 2013
Giacomo Indiveri, Bernabé Linares-Barranco, Robert Legenstein, George Deligeorgis and Themistoklis Prodromakis Integration of nanoscale memristor synapses in neuromorphic computing architectures Nanotechnology 24, 384010-384010, 2013 , DOI
Wolfgang Maass, Stefan Habenschuss and Zeno Jonke Neural circuits naturally encode probability distributions over network states, and over trajectories of network states
Stefan Habenschuss, Helmut Puhr and Wolfgang Maass Emergence of Optimal Decoding of Population Codes through STDP Neural computation 25, 1371-1407, 2013 , DOI
2012
Elmar Rückert and Gerhard Neumann Stochastic Optimal Control Methods for Investigating the Power of Morphological Computation Artificial life 19, 115-131, 2012 , DOI
Zeno Jonke, Stefan Habenschuss, Robert Legenstein and Wolfgang Maass Improved feature extraction by pyramidal cells through relaxed lateral inhibition
Robert Legenstein and Wolfgang Maass Spikes as temporal beliefs and the optimal temporal integration of uncertain information in networks of spiking neurons
Franz Aurenhammer and Bert Jüttler On Computing the Convex Hull of (Piecewise) Curved Objects Mathematics in computer science 6, 261-266, 2012 , DOI
Wolfgang Maass, Dimitri Probst, Henry Markram and Marc Oliver Gewaltig Liquid Computing in a Simplified Model of Cortical Layer IV: Learning to Balance a BallLiquid Computing in a Simplified Model of Cortical Layer IV: Learning to Balance a Ball209-216
Thomas Schiffer, Franz Aurenhammer and Markus Demuth Computing Convex Quadrangulations Discrete applied mathematics 160, 648-656, 2012 , DOI
O. Aichholzer, W. Aigner, F. Aurenhammer, B. Jüttler, K. Dobiásová and G. Rote Triangulations with circular arcsTriangulations with circular arcs296-307
O. Aichholzer, W. Aigner, F. Aurenhammer and B. Jüttler Exact medial axis computation for triangulated solids with respect to piecewise linear metricsExact medial axis computation for triangulated solids with respect to piecewise linear metrics1-27
Franz Aurenhammer On triangulation axes of polygonsOn triangulation axes of polygons125-128
Oswin Aichholzer, Wolfgang Aigner, Thomas Hackl and Nicola Wolpert Exact Medial Axis Computation for Circular Arc BoundariesExact Medial Axis Computation for Circular Arc Boundaries28-42
Elmar Rückert and Gerhard Neumann A study of Morphological Computation by using Probabilistic Inference for Motor PlanningA study of Morphological Computation by using Probabilistic Inference for Motor Planning
David Kappel, Bernhard Nessler and Wolfgang Maass Emergence of Hidden Markov Models through STDP in Networks of Spiking Neurons
Michael Pfeiffer, Manfred Hartbauer, Wolfgang Maass, Alexander B. Lang and Heinrich Römer Probing Real Sensory Worlds of Receivers with Unsupervised Clustering PLoS ONE 7, 1-22, 2012 , DOI
Stefan Klampfl, V. David Stephen, Pingbo Yin, Shibab Shamma and Wolfgang Maass A quantitative analysis of information about past and present stimuli encoded by spikes of A1 neurons Journal of neurophysiology 108, 1366-1380, 2012 , DOI
Helmut Hauser, Auke J. Ijspeert, Rudolf M. Füchslin, Rolf Pfeifer and Wolfgang Maass The role of feedback in morphological computation with compliant bodies Biological cybernetics , 1-19, 2012 , DOI
Oswin Aichholzer, Franz Aurenhammer, E. Demaine, F. Hurtado, P.A. Ramos and Jorge Urrutia On k-convex polygons Computational geometry 45, 73-87, 2012
2011
Wolfgang Aigner The medial axis of geometric objects for various convex metrics
Robert Legenstein, Dejan Pecevski, Lars Holger Büsing and Wolfgang Maass Dendritic computation could support probabilistic inference in networks of spiking neurons
Stefanie Liebe, Gregor Michael Hörzer, Nikos Logothetis and Gregor Rainer Long range coupling in theta between V4 and prefrontal cortex predicts visual memory performance
Malte J. Rasch, Klaus Schuch, Nikos K. Logothetis and Wolfgang Maass Statistical Comparison of Spike Responses to Natural Stimuli in Monkey Area V1 With Simulated Responses of a Detailed Laminar Network Model for a Patch of V1 Journal of neurophysiology 105, 757-778, 2011 , DOI
Lars Buesing, Johannes Bill, Bernhard Nessler and Wolfgang Maass Neural Dynamics as Sampling: A Model for Stochastic Computation in Recurrent Networks of Spiking Neurons PLoS computational biology 7, e1002211-e1002211, 2011 , DOI
Robert Legenstein and Wolfgang Maass Self-organization of nonlinear neural computation through synaptic plasticity in dendritic branches
Robert Legenstein Dendritic computation could support probabilistic inference in networks of spiking neuronsDendritic computation could support probabilistic inference in networks of spiking neurons1-1
Wolfgang Aigner Exact medial axis computation of triangulated solid for piecewise linear metricsExact medial axis computation of triangulated solid for piecewise linear metrics1-27
Gregor Michael Hörzer, Robert Legenstein and Wolfgang Maass Eliminating the teacher in reservoir computingEliminating the teacher in reservoir computing32-32
Helmut Hauser, Auke J. Ijspeert, Rudolf M. Füchslin, Rolf Pfeifer and Wolfgang Maass Towards a theoretical foundation for morphological computation with compliant bodies Biological cybernetics 105, 355-370, 2011
Stefan Klampfl Computation and Learning in Biological Networks of Neurons: Theoretical Analysis, Computer Simulations, and Analysis of Experimental Data
Robert Legenstein and Wolfgang Maass Branch-specific plasticity enables self-organization of nonlinear computation in single neurons The journal of neuroscience 31, 10787-10802, 2011
Helmut Hauser, Gerhard Neumann, Auke J. Ijspeert and Wolfgang Maass Biologically Inspired Kinematic Synergies Enable Linear Balance Control of a Humanoid Robot Biological cybernetics 104, 235-249, 2011 , DOI
Wolfgang Maass Motivation, theory, and applications of liquid state machinesMotivation, theory, and applications of liquid state machines275-296
Oswin Aichholzer, Franz Aurenhammer, Thomas Hackl, Bert Jüttler, Margot Oberneder and Zbynek Sir Computational and structural advantages of circular boundary representation International journal of computational geometry and applications 21, 47-69, 2011 , DOI
Stefan Habenschuss, Helmut Puhr and Wolfgang Maass Emergence of Optimal Population Decoding through STDP
Gernot Griesbacher and Helmut Hauser Moving a robot arm by exploiting its complex compliant morphology
Dejan Pecevski, Lars Buesing and Wolfgang Maass Probabilistic inference in general graphical models through sampling in stochastic networks of spiking neurons. PLoS computational biology 7, 1-25, 2011 , DOI
2010
Robert Legenstein, Steven Chase, Andrew B. Schwartz and Wolfgang Maass A reward-modulated Hebbian learning rule can explain experimentally observed network reorganization in a brain control task The journal of neuroscience 30, 8400-8410, 2010
Oswin Aichholzer, Wolfgang Aigner, Franz Aurenhammer, Thomas Hackl, [No Value] Jüttler B., [No Value] Pilgerstorfer E. and [No Value] Rabl M. Divide-and conquer for Voronoi diagrams revisited Computational geometry 43, 688-699, 2010
Robert Legenstein Reinforcement learning on slow features of high-dimensional input streams PLoS computational biology 6, e1000894-e1000894, 2010
Lars Büsing, Johannes Bill, Bernhard Nessler, Stefan Habenschuss and Wolfgang Maass Emergence of Bayesian computation in generic motifs of cortical microcircuits
Lars Holger Büsing and Wolfgang Maass A Spiking Neuron as Information Bottleneck Neural computation 22, 1961-1992, 2010 , DOI
Stefanie Liebe, Gregor Michael Hörzer, Nikos Logothetis and Gregor Rainer Oscillatory neuronal synchronization between prefrontal and extrastriate visual cortex during visual memory
Gregor Michael Hörzer Reward-modulated Hebbian learning is able to induce coherent patterns of activity and simple memory functions in initially chaotic recurrent neural networks
Claudia Clopath, Lars Holger Büsing, Eleni Vasilaki and Wulfram Gerstner Connectivity reflects Coding: a model of voltage-based STDP with homeostasis Nature neuroscience 13, 344-352, 2010 , DOI
Gregor Michael Hörzer, Stefanie Liebe, Alois Schlögl, Nikos Logothetis and Gregor Rainer Directed coupling in local field potentials of Macaque V4 during visual short-term memory revealed by multivariate autoregressive models Frontiers in Computational Neuroscience , 1-13, 2010 , DOI
Lars Holger Büsing, Benjamin Schrauwen and Robert Legenstein Connectivity, Dynamics, and Memory in Reservoir Computing with Binary and Analog Neurons Neural computation 22, 1272-1311, 2010 , DOI
Stefan Klampfl and Wolfgang Maass A theoretical basis for emergent pattern discrimination in neural systems through slow feature extraction Neural computation 22, 2979-3035, 2010 , DOI
Bernhard Nessler, Michael Pfeiffer and Wolfgang Maass STDP enables spiking neurons to detect hidden causes of their inputsSTDP enables spiking neurons to detect hidden causes of their inputs1357-1365
Robert Legenstein, Steven Chase, Andrew B. Schwartz and Wolfgang Maass Functional network reorganization in motor cortex can be explained by reward-modulated Hebbian learningFunctional network reorganization in motor cortex can be explained by reward-modulated Hebbian learning1105-1113
Johannes Bill, Daniel Bruederle, Bernhard Kaplan, Jens Kremkow, Karlheinz Meier, Eric Mueller and Johannes Schemmel Simulator-like exploration of cortical network architectures with a mixed-signal VLSI systemSimulator-like exploration of cortical network architectures with a mixed-signal VLSI system2784-2787
Robert Legenstein Combining predictions for accurate recommender systemsCombining predictions for accurate recommender systems693-702
Markus Demuth, Franz Aurenhammer and Axel Pinz Straight skeletons for binary shapesStraight skeletons for binary shapes9-16
Oswin Aichholzer, Franz Aurenhammer, Thomas Hackl, Clemens Huemer, Alexander Pilz and Birgit Vogtenhuber 3-Colorability of pseudo-triangulations3-Colorability of pseudo-triangulations21-24
Stefan Klampfl and Wolfgang Maass Replacing supervised classification learning with Slow Feature Analysis in spiking neural networksReplacing supervised classification learning with Slow Feature Analysis in spiking neural networks988-996
Oswin Aichholzer, Wolfgang Aigner, Franz Aurenhammer, Katerina Dobiásová and Bert Jüttler Arc TriangulationsArc Triangulations17-20
Wolfgang Maass and Stefan Häusler Die Nerven und ihre Erinnerung , 2010
Wolfgang Maass and Stefan Häusler Hirnforschung - Prothesen für Gelähmte , 2010
Wolfgang Maass and Stefan Häusler Zeitsprung in der Schüssel , 2010
Wolfgang Maass and Stefan Häusler Das Gehirn als Teich, in den man Steine wirft , 2010
Michael Pfeiffer, Bernhard Nessler, Rodney J. Douglas and Wolfgang Maass Reward-modulated Hebbian Learning of Decision Making Neural computation 22, 1399-1444, 2010 , DOI
Johannes Bill, Klaus Schuch, Wolfgang Maass, Daniel Bruederle, Johannes Schemmel and Karlheinz Meier Compensating inhomogeneities of neuromorphic VLSI devices via short-term synaptic plasticity Frontiers in Computational Neuroscience , 1-12, 2010 , DOI
2009
Gerhard Neumann, Wolfgang Maass and Jan Peters Learning Complex Motions by Sequencing Simpler Motion TemplatesLearning Complex Motions by Sequencing Simpler Motion Templates753-761
Stefan Klampfl, Stephen V David, Pingbo Yin, Shihab A Shamma and Wolfgang Maass Integration of stimulus history in information conveyed by neurons in primary auditory cortex in response to tone sequences
Danko Nikolic, Stefan Häusler, Wolf Singer and Wolfgang Maass Distributed fading memory for stimulus properties in the primary visual cortex PLoS biology 7, 1-19, 2009 , DOI
Gernot Griesbacher Learning to move a robot arm by exploiting it’s morphological structure
Bernhard Nessler, Michael Pfeiffer and Wolfgang Maass STDP enables spiking neurons to detect hidden causes of their inputs
Niko Wilbert, Mathias Franzius, Robert Legenstein and Laurenz Wiskott Reinforcement learning on complex visual stimuli
Stefan Häusler, Klaus Schuch and Wolfgang Maass Motif distribution, dynamical properties, and computational performance of two data-based cortical microcircuit templates Journal of physiology Paris 103, 73-87, 2009 , DOI
D. Buonomano and Wolfgang Maass State-dependent computations: Spatiotemporal processing in cortical networks Nature reviews / Neuroscience 10, 113-125, 2009 , DOI
Oswin Aichholzer, Wolfgang Aigner, Franz Aurenhammer, Thomas Hackl, Bert Jüttler and Margot Rabl Medial axis computation for planar free-form shapes Computer-aided design 41, 339-349, 2009 , DOI
Stefan Klampfl Replacing supervised classification learning with Slow Feature Analysis in spiking neural networks
Robert Legenstein Computation and Learning in Neural Systems
Oswin Aichholzer, Wolfgang Aigner, Franz Aurenhammer, Thomas Hackl, Bert Jüttler, Elisabeth Pilgerstorfer and Margot Rabl Divide-and-conquer for voronoi diagrams revisitedDivide-and-conquer for voronoi diagrams revisited189-197
Oswin Aichholzer, Franz Aurenhammer, Thomas Hackl and Bettina Speckmann On minimum weight pseudo-triangulations Computational geometry 42, 627-631, 2009
Heinz Koeppl and Stefan Häusler Motifs, algebraic connectivity and computational performance of two data- based cortical circuit templatesMotifs, algebraic connectivity and computational performance of two data- based cortical circuit templates83-86
Oswin Aichholzer, Franz Aurenhammer, Olivier Devillers, Thomas Hackl, Monique Teillaud and Birgit Vogtenhuber Lower and upper bounds on the number of empty cylinders and ellipsoidsLower and upper bounds on the number of empty cylinders and ellipsoids139-142
Dejan Pecevski, Thomas Natschläger and Klaus Schuch PCSIM: A Parallel Simulation Environment for Neural Circuits Fully Integrated with Python Frontiers in neuroinformatics 3, ---, 2009 , DOI
Niko Wilbert, Robert Legenstein and Laurenz Wiskott Slowness in hierarchical networks for visual processing
Oswin Aichholzer, Franz Aurenhammer, F. Hurtado, P.A. Ramos and Jorge Urrutia Two-convex polygonsTwo-convex polygons117-120
Benjamin Schrauwen, Lars Holger Büsing and Robert Legenstein On Computational Power and the Order-Chaos Phase Transition in Reservoir ComputingOn Computational Power and the Order-Chaos Phase Transition in Reservoir Computing
Robert Legenstein, Steven M. Chase, Andrew B. Schwartz and Wolfgang Maass Functional network reorganization in motor cortex can be explained by reward-modulated Hebbian learning
Stefanie Liebe, Gregor Michael Hörzer, Nikos Logothetis, Wolfgang Maass and Gregor Rainer Long range coupling between V4 and PF in theta band during visual short-term memory
Bernhard Nessler, Michael Pfeiffer and Wolfgang Maass STDP performs stochastic EM to reveal the hidden causes of spatiotemporal spiking patterns
Wolfgang Maass and Stefan Häusler Blick durch die Brille , 2009
Robert Legenstein and Wolfgang Maass An integrated learning rule for branch strength potentiation and STDP
Wolfgang Maass and Stefan Häusler Durch die Brille der Vergangenheit , 2009
Stefan Klampfl, Robert Albin Legenstein and Wolfgang Maass Spiking neurons can learn to solve information bottleneck problems and to extract independent components Neural computation 21, 911-959, 2009
Wolfgang Maass and Stefan Häusler Blick zurück , 2009
Bernhard Nessler, Michael Pfeiffer and Wolfgang Maass Hebbian learning of Bayes optimal decisionsHebbian learning of Bayes optimal decisions1169-1176
A. Steimer, Wolfgang Maass and Rodney Douglas Belief-propagation in networks of spiking neurons Neural computation 21, 2502-2523, 2009
Oswin Aichholzer, Franz Aurenhammer, Bernhard Kornberger, Simon Plantinga, Günter Rote, Astrid Sturm and Gert Vegter Recovering structure from r-sampled objectsRecovering structure from r-sampled objects1349-1360
Oswin Aichholzer, Wolfgang Aigner, Franz Aurenhammer, Thomas Hackl, Bert Jüttler, Elisabeth Pilgerstorfer and Margot Rabl Divide-and-conquer for voronoi diagrams revisitedDivide-and-conquer for voronoi diagrams revisited293-296
B. Aranaov , Franz Aurenhammer, F. Hurtado , S. Langerman , D. Rappaport , S. Smorodinsky and C. Seara Small weak epsilon nets Computational geometry 42, 455-462, 2009
2008
Franz Aurenhammer and [No Value] Xu Y.-F. Optimal triangulationsOptimal triangulations2757-2764
Robert Legenstein, Dejan Pecevski and Wolfgang Maass A learning theory for reward-modulated spike-timing-dependent plasticity with application to biofeedback PLoS computational biology 4, 1-27, 2008
Robert Legenstein On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing
Franz Aurenhammer, Markus Demuth and Thomas Schiffer Computing convex quadrangulationsComputing convex quadrangulations
Bernhard Nessler, Michael Pfeiffer and Wolfgang Maass Hebbian Learning of Bayes Optimal Decisions
Oswin Aichholzer, Franz Aurenhammer, Thomas Hackl, Bernhard Kornberger, Simon Plantinga, Günter Rote, Astrid Sturm and Gert Vegter Seed Polytopes for Incremental ApproximationSeed Polytopes for Incremental Approximation13-16
Gregor Michael Hörzer Extraction of information about the behavioral state of monkeys from neuronal recordings with methods from machine learning
Robert Albin Legenstein, Dejan Pecevski and Wolfgang Maass Theoretical analysis of learning with reward-modulated spike-timing-dependent plasticityTheoretical analysis of learning with reward-modulated spike-timing-dependent plasticity
Robert Albin Legenstein and Wolfgang Maass On the classification capability of sign-constrained perceptrons Neural computation 20, 208-309, 2008
Gerhard Neumann Fitted Q-Iteration by Advantage Weighted RegressionFitted Q-Iteration by Advantage Weighted Regression
Michael Pfeiffer, Bernhard Nessler and Wolfgang Maass A Hebbian Learning Rule for Optimal Decision Making
Lars Holger Büsing and Wolfgang Maass Simplified rules and theoretical analysis for information bottleneck optimization and PCA with spiking neuronsSimplified rules and theoretical analysis for information bottleneck optimization and PCA with spiking neurons
Oswin Aichholzer, Franz Aurenhammer, P. Gonzalez-Nava, Thomas Hackl, Clemens Huemer, F. Hurtado, Hannes Krasser, S. Ray and Birgit Vogtenhuber Matching edges and faces in polygonal partitions Computational geometry 39, 134-141, 2008 , DOI
Anna Manuela Meier, Saranti Sonic Explorations with Earthquake DataSonic Explorations with Earthquake Data0-0
Anna Saranti A., Meier M. "underground sounds": Experimenting with the sounds of earthquakes"underground sounds": Experimenting with the sounds of earthquakes0-0
Gerhard Neumann Batch-Mode Reinforcement Learning for Continuous State Spaces: A Survey ÖGAI-Journal 27, 1-1, 2008
Marcelo Montemurro, Malte Rasch, Yusuke Murayama, Nikos K. Logothetis and Stefano Panzeri Phase-of-Firing Coding of Natural Visual Stimuli in Primary Visual Cortex Current biology 18, 375-380, 2008 , DOI
Robert Legenstein, Steven M. Chase, Andrew B. Schwartz and Wolfgang Maass A model for learning effects in motor cortex that may facilitate the brain control of neuroprosthetic devicesA model for learning effects in motor cortex that may facilitate the brain control of neuroprosthetic devices
Johannes Bill Self-Stabilizing Network Architectures on a Neuromorphic Hardware System
Claudia Clopath, Lars Holger Büsing, Eleni Vasilaki and Wulfram Gerstner A unified voltage-based model for STDP, LTP and LTD
Robert Legenstein Improved neighborhood-based algorithms for large-scale recommender systemsImproved neighborhood-based algorithms for large-scale recommender systems
Stefan Häusler, Klaus Schuch and Wolfgang Maass Motif distribution, dynamical properties, and computational performance of two data-based cortical microcircuit templates
Claudia Clopath, Lorric Ziegler, Eleni Vasilaki, Lars Holger Büsing and Wulfram Gerstner Tag-Trigger-Consolidation: A Model of Early and Late Long-Term-Potentiation and Depression PLoS computational biology 4, e1000248-e1000248, 2008 , DOI
Malte Rasch, A. Gretton, Y. Murayama, Wolfgang Maass and N. K. Logothetis Inferring spike trains from local field potentials Journal of neurophysiology 99, 1461-1476, 2008 , DOI
2007
Herbert Jaeger, Wolfgang Maass and J. C. Principe Introduction to the special issue on echo state networks and liquid state machines Neural networks 20, 287-289, 2007 , DOI
Lars Holger Büsing Simplified rules and theoretical analysis for information bottleneck optimization and PCA with spiking neurons
Prashant Joshi From memory based decisions to decision based movements: A model of interval discrimination followed by action selection Neural networks 20, 298-311, 2007 , DOI
[No Value] D. Nikolic, Stefan Häusler, [No Value] W. Singer and Wolfgang Maass Temporal dynamics of information content carried by neurons in the primary visual cortexTemporal dynamics of information content carried by neurons in the primary visual cortex1041-1048
Wolfgang Maass Liquid computingLiquid computing
Oswin Aichholzer, Franz Aurenhammer, Thomas Hackl and Clemens Huemer Connecting colored point sets Discrete applied mathematics 155, 271-278, 2007
Eilif Muller, Lars Holger Büsing, Johannes Schemmel and Karlheinz Meier Spike-Frequency Adapting Neural Ensembles: Beyond Mean Adaptation and Renewal Theories Neural computation 19, 2958-3010, 2007
Robert Albin Legenstein and Wolfgang Maass What makes a dynamical system computationally powerful?What makes a dynamical system computationally powerful?127-154
Helmut Hauser, Gerhard Neumann, [No Value] A. J. Ijspeert and Wolfgang Maass Biologically inspired kinematic synergies provide a new paradigm for balance control of humanoid robotsBiologically inspired kinematic synergies provide a new paradigm for balance control of humanoid robots
Oswin Aichholzer, Franz Aurenhammer, Thomas Hackl and B. Speckmann On (pointed) minimum weight pseudo-triangulationsOn (pointed) minimum weight pseudo-triangulations209-212
Franz Aurenhammer, Johannes Wallner, Martin Peternell and Helmut Pottmann Voronoi diagrams for oriented spheresVoronoi diagrams for oriented spheres33-37
Oswin Aichholzer, Franz Aurenhammer, Clemens Huemer and Birgit Vogtenhuber Gray Code Enumeration of Plane Straight Line Graphs Graphs and combinatorics 23, 467-479, 2007
Oswin Aichholzer, Franz Aurenhammer, Thomas Hackl, Bert Jüttler, Margot Oberneder and Zbynek Sir Computational and structural advantages of circular boundary representationComputational and structural advantages of circular boundary representation374-385
Stefan Häusler and Wolfgang Maass A statistical analysis of information processing properties of lamina-specific cortical microcircuit models. Cerebral cortex 17, 149-162, 2007
Stefan Klampfl, Robert Albin Legenstein and Wolfgang Maass Information Bottleneck Optimization and Independent Component Extraction with Spiking NeuronsInformation Bottleneck Optimization and Independent Component Extraction with Spiking Neurons713-720
Franz Aurenhammer Weighted skeletons and fixed-share decomposition Computational geometry 40, 93-101, 2007
Robert Albin Legenstein Theoretical analysis of learning with reward-modulated spike-timing-dependent plasticity
Arthur Gretton, Karsten M. Borgwardt, Malte Johannes Rasch, Bernhard Schoelkopf and Alex J. Smola A Kernel Method for the Two-Sample-ProblemA Kernel Method for the Two-Sample-Problem
Bernhard Kornberger, Thomas Hackl, Franz Aurenhammer, Oswin Aichholzer, Helmut Pottmann and Martin Peternell Approximating Boundary-Triangulated Objects with BallsApproximating Boundary-Triangulated Objects with Balls130-133
Franz Aurenhammer, M. Peternell, Helmut Pottmann and J. Wallner Voronoi diagrams for oriented spheres
Franz Aurenhammer, B. Speckmann, Oswin Aichholzer and Thomas Hackl On (pointed) minimum weight pseudo-triangulations
Oswin Aichholzer, Franz Aurenhammer, B. Juettler, M. Oberneder, Z. Sir and Thomas Hackl Computational and structural advantages of circular boundary representation
Stefan Häusler, Wolfgang Maass, Wolf Singer and Danko Nikolic Superposition of information in large ensembles of neurons in primary visual cortex.
Oswin Aichholzer, Franz Aurenhammer, Thomas Hackl, B. Kornberger , M. Peternell and Helmut Pottmann Approximating boundary-triangulated objects with balls
Oswin Aichholzer, Franz Aurenhammer and Thomas Hackl Pre-triangulations and liftable complexes Discrete & computational geometry 38, 701-725, 2007
Gerhard Neumann, Michael Pfeiffer and Wolfgang Maass Efficient Continuous-Time Reinforcement Learning with Adaptive State GraphsEfficient Continuous-Time Reinforcement Learning with Adaptive State Graphs
David Sussillo, Taro Toyoizumi and Wolfgang Maass Self-tuning of neural circuits through short-term synaptic plasticity Journal of neurophysiology 97, 4079-4095, 2007 , DOI
Wolfgang Maass, Prashant Joshi and Eduardo Sontag Computational aspects of feedback in neural circuits PLoS computational biology 3, 1-20, 2007
David Sussillo, [No Value] Toyoizumi T. and Wolfgang Maass Self-tuning of neural circuits through short-term synaptic plasticity
Robert Albin Legenstein and Wolfgang Maass Edge of Chaos and Prediction of Computational Performance for Neural Circuit Models Neural networks 20, 323-333, 2007
2006
Marian Kepesi, Van Tuan Pham, Gernot Kubin, Luis Weruaga, Andreas Juffinger and Michael Grabner Noise Cancellation Frontends for Automatic Meeting TranscriptionNoise Cancellation Frontends for Automatic Meeting Transcription999-999
Franz Aurenhammer, [No Value] M. Peternell, [No Value] H. Pottmann and [No Value] J. Wallner Voronoi diagrams for oriented spheres
Oswin Aichholzer, Franz Aurenhammer, C. Huemer and Hannes Krasser Transforming spanning trees and pseudo-triangulations Information processing letters 97, 19-22, 2006
Marian Kepesi, Michael Neffe, Van Tuan Pham, Michael Grabner and Andreas Juffinger Audio-Visual Feature Extraction for Semi-Automatic Annotation of Meetings,Audio-Visual Feature Extraction for Semi-Automatic Annotation of Meetings,999-999
Franz Aurenhammer and [No Value] Krasser H Pseudo-simplicial complexes from maximal locally convex functions Discrete & computational geometry 35, 201-221, 2006
Oswin Aichholzer, Franz Aurenhammer, Thomas Hackl, B. Juettler, M. Oberneder and Z. Sir Computational and structural advantages of circular boundary representation
Franz Aurenhammer, B. Kornberger , M. Peternell , H. Pottmann, Oswin Aichholzer and Thomas Hackl Approximating boundary-triangulated objects with balls
Wolfgang Maass and H. Markram Theory of the computational function of microcircuit dynamicsTheory of the computational function of microcircuit dynamics371-390
Andreas Opelt, Axel Pinz, Michael Fussenegger and Peter Auer Generic Object Recognition with Boosting IEEE transactions on pattern analysis and machine intelligence 28, 416-431, 2006
Y. Fregnac, M. Blatow, J.-P. Changeux, J. DeFelipe, A. Lansner, Wolfgang Maass, D. A. McCormick, C. M. Michel, H. Monyer, E. Szathmary and R. Yuste UPs and DOWNs in cortical computationUPs and DOWNs in cortical computation393-433
Oswin Aichholzer, Franz Aurenhammer, C. Huemer and Birgit Vogtenhuber Gray code enumeration of plane straight-line graphsGray code enumeration of plane straight-line graphs71-74
Stefan Klampfl, Robert Albin Legenstein and Wolfgang Maass Information Bottleneck Optimization and Independent Component Extraction with Spiking Neurons
Franz Aurenhammer, R. L. S. Drysdale and Hannes Krasser Farthest line segment Voronoi diagrams Information processing letters 100, 220-225, 2006
Kei Uchizawa, Rodney Douglas and Wolfgang Maass On the computational power of threshold circuits with sparse activity Neural computation 18, 2995-3008, 2006
Franz Aurenhammer, [No Value] R. L. S. Drysdale and [No Value] H. Krasser Farthest line segment Voronoi diagrams
Prashant Joshi Modeling working memory and decision making using generic neural microcircuitsModeling working memory and decision making using generic neural microcircuits515-524
Stefan Klampfl, Robert Albin Legenstein and Wolfgang Maass Extracting Independent Components with Spiking Neurons
Oswin Aichholzer, Franz Aurenhammer and Thomas Hackl Pre-triangulations and liftable complexesPre-triangulations and liftable complexes282-291
Stefan Häusler and Wolfgang Maass Computational consequences of lamina-specific structure in cortical microcircuit models
Oswin Aichholzer, Franz Aurenhammer and Thomas Hackl Connecting colored point sets
Karsten M. Borgwardt, Arthur Gretton, Malte Johannes Rasch, Hans-Peter Kriegel, Bernhard Schoelkopf and Alex J. Smola Integrating structured biological data by Kernel Maximum Mean Discrepancy Bioinformatics 22, e49-e57, 2006
Oswin Aichholzer, Franz Aurenhammer, C. Huemer and Hannes Krasser Transforming spanning trees and pseudo-triangulations
Robert Albin Legenstein and Wolfgang Maass A criterion for the convergence of learning with spike timing dependent plasticityA criterion for the convergence of learning with spike timing dependent plasticity763-770
Wolfgang Maass Book review of "Imitation of life: how biology is inspiring computing" by Nancy Forbes Pattern analysis and applications 8, 390-391, 2006
Robert Albin Legenstein Analysis of Neural Microcircuits on the Systems Level
Oswin Aichholzer, Franz Aurenhammer and Hannes Krasser On the crossing number of complete graphs Computing <Wien> 76, 165-176, 2006
Stefan Klampfl Extracting Statistically Independent Components with a Generalized BCM Rule for Spiking Neurons
K. Uchizawa, Rodney Douglas and Wolfgang Maass Energy complexity and entropy of threshold circuitsEnergy complexity and entropy of threshold circuits631-642
Franz Aurenhammer and [No Value] H. Krasser Pseudo-simplicial complexes from maximal locally convex functions
Stefan Häusler and Wolfgang Maass Computational consequences of lamina-specific structure in cortical microcircuit models.
Wolfgang Maass, Prashant Joshi and Eduardo Sontag Principles of real-time computing with feedback applied to cortical microcircuit modelsPrinciples of real-time computing with feedback applied to cortical microcircuit models835-842
Alexander Kaske and Wolfgang Maass A model for the interaction of oscillations and pattern generation with real-time computing in generic neural microcircuit models Neural networks 19, 600-609, 2006
Johannes Bill Resonant quantum dynamics of neutral spin-1 particles in a magnetic guide Physical review / A , 53609-1-53609-9, 2006 , DOI
2005
Oswin Aichholzer, Franz Aurenhammer, C. Huemer and Hannes Krasser Transforming spanning trees and pseudo-triangulationsTransforming spanning trees and pseudo-triangulations81-84
Robert Albin Legenstein and Wolfgang Maass Wire length as a circuit complexity measure Journal of computer and system sciences 70, 53-72, 2005
Robert Albin Legenstein, Christian Näger and Wolfgang Maass What can a neuron learn with spike-timing-dependent plasticity? Neural computation 17, 2337-2382, 2005
Robert Albin Legenstein Real-time computations and self organized criticality in recurrent neural networks
Thomas Natschläger, Nils Bertschinger and Robert Albin Legenstein At the edge of chaos: Real-time computations and self-organized criticality in recurrent neural networksAt the edge of chaos: Real-time computations and self-organized criticality in recurrent neural networks145-152
Franz Aurenhammer Pre-triangulations: A generalization of Delaunay triangulations and flipsPre-triangulations: A generalization of Delaunay triangulations and flips235-235
Harald Michael Burgsteiner, Mark Kröll, Alexander Leopold and Gerald Steinbauer Movement Prediction from real-world Images using a Liquid State MachineMovement Prediction from real-world Images using a Liquid State Machine121-130
Oswin Aichholzer, Franz Aurenhammer, P. Gonzalez-Nava, Thomas Hackl, C. Huemer, F. Hurtado, Hannes Krasser, S. Ray and Birgit Vogtenhuber Matching edges and faces in polygonal partitionsMatching edges and faces in polygonal partitions123-126
Prashant Joshi and Wolfgang Maass Movement generation with circuits of spiking neurons Neural computation 17, 1715-1738, 2005
D. Goswami, Klaus Schuch, Yi Zheng, T. De Marse and J. C. Principe Towards the modeling of dissociated cortical tissue in the liquid state machine frameworkTowards the modeling of dissociated cortical tissue in the liquid state machine framework2179-2183
Wolfgang Maass, Prashant Joshi and Eduardo Sontag Principles of real-time computing with feedback applied to cortical microcircuit models
Franz Aurenhammer and Hannes Krasser Pseudo-tetrahedral complexesPseudo-tetrahedral complexes85-88
Michael Pfeiffer Reinforcement Learning of Strategies for Settlers of Catan
B. Aronov, Oswin Aichholzer, Franz Aurenhammer, F. Hurtado, S. Langerman, D. Rappaport, S. Smorodinsky and C. Seara Small weak epsilon netsSmall weak epsilon nets51-54
Michael Pfeiffer, Amir Saffari and Andreas Juffinger Predicting Text Relevance from Sequential Reading BehaviorPredicting Text Relevance from Sequential Reading Behavior1-6
Robert Albin Legenstein A criterion for the convergence of learning with spike timing dependent plasticity
Stefan Häusler and Wolfgang Maass Computational consequences of lamina-specific structure in cortical microcircuit models
Alexander Kaske and Nils Bertschinger Travelling wave patterns in a model for the spinal pattern generator using spiking neurons Biological cybernetics 92, 206-218, 2005 , DOI
Wolfgang Maass, Robert Albin Legenstein and Nils Bertschinger Methods for estimating the computational power and generalization capability of neural microcircuitsMethods for estimating the computational power and generalization capability of neural microcircuits865-872
Thomas Natschläger and Wolfgang Maass Dynamics of information and emergent computation in generic neural microcircuit models Neural networks , 1301-1308, 2005
2004
Andreas Juffinger, Ahmed Patel and Nikita Schmidt Focused Multimedia Crawling - Distributed Evaluation FrameworkFocused Multimedia Crawling - Distributed Evaluation Framework34-37
Andreas Opelt, Michael Fussenegger, Axel Pinz and Peter Auer Generic object recognition with boosting
Oswin Aichholzer, C. Huemer and Hannes Krasser Triangulations without pointed spanning trees - extended abstractTriangulations without pointed spanning trees - extended abstract221-224
Wolfgang Maass and Henry Markram On the computational power of recurrent circuits of spiking neurons Journal of computer and system sciences 69, 593-616, 2004
Wolfgang Maass, Thomas Natschläger and Henry Markram Computational models for generic cortical microcircuitsComputational models for generic cortical microcircuits575-605
Ofer Melamed, Wulfram Gerstner, Wolfgang Maass, Misha Tsodyks and Henry Markram Coding and learning of behavioral sequences Trends in neurosciences 27, 11-14, 2004
Oswin Aichholzer, Franz Aurenhammer and B. Palop Quickest paths, straight skeletons, and the city Voronoi diagram Discrete & computational geometry 31, 17-35, 2004
Wolfgang Maass and Thomas Natschläger Information dynamics and emergent computation in recurrent circuits of spiking neuronsInformation dynamics and emergent computation in recurrent circuits of spiking neurons1255-1262
Michael Pfeiffer Machine Learning Applications in Computer Games ÖGAI-Journal 23, 4-7, 2004
Robert Albin Legenstein Methods of Estimating the Computational Power and Generalization Capability of Neural Microcircuits
Nils Bertschinger and Thomas Natschläger Real-time computation at the edge of chaos in recurrent neural networks. Neural computation 16, 1413-1436, 2004
Michael Fussenegger, Andreas Opelt, Axel Pinz and Peter Auer Object recognition using segmentation for feature detectionObject recognition using segmentation for feature detection103-110
Michael Pfeiffer Reinforcement Learning of Strategies for Settlers of CatanReinforcement Learning of Strategies for Settlers of Catan384-388
Oswin Aichholzer, Franz Aurenhammer, H. Krasser and B. Speckmann Convexity minimizes pseudo-triangulations Computational geometry 28, 3-10, 2004
Prashant Joshi and Wolfgang Maass Movement generation and control with generic neural microcircuitsMovement generation and control with generic neural microcircuits258-273
2003
Stefan Häusler, Henry Markram and Wolfgang Maass Perspectives of the high dimensional dynamics of neural microcircuits from the point of view of low dimensional readouts Complexity 8, 39-50, 2003
Oswin Aichholzer, Franz Aurenhammer, P. Brass and Hannes Krasser Pseudo-triangulations from surfaces and a novel type of edge flip SIAM journal on computing 32, 1621-1653, 2003
Wolfgang Maass Computation with spiking neuronsComputation with spiking neurons1080-1083
Wolfgang Maass, Thomas Natschläger and Henry Markram A model for real-time computation in generic neural microcircuitsA model for real-time computation in generic neural microcircuits229-236
Franz Aurenhammer Pseudo-simplices and their derivationPseudo-simplices and their derivation11-11
Wolfgang Maass and Henry Markram Temporal integration in recurrent microcircuitsTemporal integration in recurrent microcircuits1159-1163
Michael Pfeiffer Machine Learning Application in Computer Games
Robert Albin Legenstein, Henry Markram and Wolfgang Maass Input prediction and autonomous movement analysis in recurrent circuit of spiking neurons Reviews in the neurosciences 14, 5-19, 2003
Oswin Aichholzer, Franz Aurenhammer, P. Brass and Hannes Krasser Spatial Embedding of Pseudo-TriangulationsSpatial Embedding of Pseudo-Triangulations144-153
Oswin Aichholzer, E. Bremner, E. D. Demaine, F. Hurtado, E. Kranakis, Hannes Krasser, S. Ramaswami, S. Sethia and J. Urrutia Geometric games on triangulationsGeometric games on triangulations89-92
Hannes Krasser Order types of point sets in the plane
Frank Kappe, Georg Droschl, Wolfgang Kienreich, Vedran Sabol, Jutta Becker, Keith Andrews, Michael Granitzer, Klaus Tochtermann and Peter Auer InfoSky: Visual Exploration of Large Hierarchical Document RepositoriesInfoSky: Visual Exploration of Large Hierarchical Document Repositories1268-1272
Thomas Natschläger, Wolfgang Maass and Henry Markram Computer models and analysis tools for neural microcircuitsComputer models and analysis tools for neural microcircuits123-138
Peter L. Bartlett and Wolfgang Maass Vapnik-Chervonenkis dimension of neural netsVapnik-Chervonenkis dimension of neural nets1188-1192
Oswin Aichholzer, Franz Aurenhammer, F. Hurtado and Hannes Krasser Towards compatible triangulations Theoretical computer science 296, 3-13, 2003
2002
Oswin Aichholzer, Franz Aurenhammer and H. Krasser Points and combinatorics Telematik 8, 12-17, 2002
Frank Kappe, Georg Droschl, Wolfgang Kienreich, Vedran Sabol, Jutta Becker, Keith Andrews, Michael Granitzer, Klaus Tochtermann and Peter Auer InfoSky: Eine neue Technologie zur Erforschung großer, hierarchischer WissensräumeInfoSky: Eine neue Technologie zur Erforschung großer, hierarchischer Wissensräume
Robert Albin Legenstein The wire-length complexity of neural networks
Oswin Aichholzer, Franz Aurenhammer, Bernhard Brandstätter, Thomas Ebner, Hannes Krasser, Christian Magele and Martin Mühlmann Evolution strategy and hierarchical clustering IEEE transactions on magnetics 38, 1041-1044, 2002
Lars Holger Büsing Simplified rules and theoretical analysis for information bottleneck optimization and PCA with spiking neurons
Oswin Aichholzer, Franz Aurenhammer and Belén Palop Quickest paths, straight skeletons, and the city Voronoi diagramQuickest paths, straight skeletons, and the city Voronoi diagram151-159
Oswin Aichholzer and Franz Aurenhammer Voronoi diagrams - computational geometry's favorite Telematik 8, 7-11, 2002
Keith Andrews, Wolfgang Kienreich, Vedran Sabol, Jutta Becker, Georg Droschl, Frank Kappe, Michael Granitzer, Peter Auer and Klaus Tochtermann The InfoSky Visual Explorer: Exploiting Hierarchical Structure and Document Similarities Information visualization 1, 166-181, 2002 , DOI
Wolfgang Maass, Gerald Steinbauer and Roland Koholka Autonomous fast learning in a mobile robotAutonomous fast learning in a mobile robot345-356
Oswin Aichholzer, Franz Aurenhammer and H. Krasser Progress on rectilinear crossing numbers
2001
Oswin Aichholzer, Franz Aurenhammer, Christian Icking, Rolf Klein, Elmar Langetepe and Günter Rote Generalized self-approaching curves Discrete applied mathematics 109, 3-24, 2001
Oswin Aichholzer, Franz Aurenhammer, B. Brandtstätter, H. Krasser, Christian Magele, Martin Mühlmann and Werner Renhart Evolution Strategy and Hierarchical ClusteringEvolution Strategy and Hierarchical Clustering?-?
Oswin Aichholzer, Franz Aurenhammer and H. Krasser Enumerating order types for small point sets with applicationsEnumerating order types for small point sets with applications11-18
Stefan Häusler, Wolfgang Maass and Henry Markram Readout neurons in neural microcircuits
Stefan Häusler, Wolfgang Maass and Henry Markram Evolution of internal states of neural microcircuits
Oswin Aichholzer, Franz Aurenhammer, F. Hurtado and H. Krasser Towards Compatible TriangulationsTowards Compatible Triangulations101-110
2000
Wolfgang Maass, Axel Pinz, Reinhard Braunstingl, Gerhard Wiesspeiner, Thomas Natschläger, Oliver Friedl and Harald Michael Burgsteiner Konstruktion von Lernfähigen Robotern im Studentenwettbewerb "Robotik 2000" an der Technischen Universität Graz Telematik , 20-24, 2000 , Link
Oswin Aichholzer, Franz Aurenhammer and F. Hurtado Edge Operations on Non-Crossing Spanning TreesEdge Operations on Non-Crossing Spanning Trees121-125
Oswin Aichholzer, Franz Aurenhammer, B. Brandtstätter, Thomas Ebner, H. Krasser and Christian Magele Niching evolution strategy with cluster algorithmsNiching evolution strategy with cluster algorithms?-?
1999
Oswin Aichholzer, Franz Aurenhammer and Reinhard Hainz New results on MWT subgraphs Information processing letters 69, 215-219, 1999
Robert Albin Legenstein Effizientes Layout von Neuronalen Netzen
Oswin Aichholzer, Franz Aurenhammer, Danny Z. Chen, D.T. Lee and Evanthia Papadopoulou Skew Voronoi diagrams International journal of computational geometry and applications 9, 235-247, 1999 , DOI
1998
Oswin Aichholzer and Franz Aurenhammer Straight skeletons for general polygonal figures in the planeStraight skeletons for general polygonal figures in the plane7-21
Oswin Aichholzer, Franz Aurenhammer, Christian Icking, Rolf Klein, Elmar Langetepe and Günter Rote Generalized self-approaching curvesGeneralized self-approaching curves15-18
Oswin Aichholzer, Franz Aurenhammer, Christian Icking, Rolf Klein, Elmar Langetepe and Günter Rote Generalized self-approaching curvesGeneralized self-approaching curves317-326
Oswin Aichholzer, Franz Aurenhammer, Günter Rote and Yinfeng Xu Constant-level greedy triangulations approximate the MWT well Journal of combinatorial optimization 2, 361-369, 1998
1997
Oswin Aichholzer, Reinhard Hainz and Franz Aurenhammer New results on minimum-weight triangulations and the LMT skeletonNew results on minimum-weight triangulations and the LMT skeleton4-6
1996
Oswin Aichholzer and Franz Aurenhammer Straight skeletons for general polygonal figuresStraight skeletons for general polygonal figures117-126
Oswin Aichholzer, Franz Aurenhammer, Günter Rote and Yinfeng Xu Constant-level greedy triangulations approximate the MWT wellConstant-level greedy triangulations approximate the MWT well309-318
Oswin Aichholzer, Franz Aurenhammer, Günter Rote and Yinfeng Xu New greedy triangulation algorithmsNew greedy triangulation algorithms11-14
Oswin Aichholzer and Franz Aurenhammer Straight skeletons for general polygonal figures in the planeStraight skeletons for general polygonal figures in the plane117-126
Oswin Aichholzer, S.-W. Cheng, N. Katoh, Günter Rote, M. Taschwer, Yinfeng Xu and Franz Aurenhammer Triangulations intersect nicely Discrete & computational geometry 16, 339-359, 1996
1995
Oswin Aichholzer and Franz Aurenhammer Straight skeletons for general polygonal figures
Oswin Aichholzer, D. Alberts, Franz Aurenhammer and B. Gärtner Straight skeletons of simple polygonsStraight skeletons of simple polygons114-124
Oswin Aichholzer, Franz Aurenhammer and Günter Rote Optimal graph orientation with storage applications
Oswin Aichholzer, D. Alberts, Franz Aurenhammer and B. Gärtner A novel type of skeleton for polygons Journal of universal computer science 1, 752-761, 1995
1994
Franz Aurenhammer, [No Value] Forman M., [No Value] Idury R., [No Value] Schäffer A. and [No Value] Wagner F. Faster isometric embedding in products of complete graphs Discrete applied mathematics 52, 17-28, 1994
Oswin Aichholzer and Franz Aurenhammer Classifying hyperplanes in hypercubesClassifying hyperplanes in hypercubes53-57
Oswin Aichholzer and Franz Aurenhammer Classifying hyperplanes in hypercubes
1993
Franz Aurenhammer Geometric clustering and Voronoi-type partitionsGeometric clustering and Voronoi-type partitions93-94
Franz Aurenhammer Voronoi diagrams - a survey of a fundamental geometric data structure ACM computing surveys , 131-185, 1993
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