IGI/Research/Publications

Publications

2018
Chen Liu, Guillaume Emmanuel Fernand Bellec, Bernhard Vogginger, David Kappel, Johannes Partzsch, Felix Neumärker, Sebastian Höppner, Wolfgang Maass, Steve B. Furber, Robert Legenstein and Christian G. Mayr Memory-Efficient Deep Learning on a SpiNNaker 2 Prototype Frontiers in neuroscience 2018, 2018 , DOI
Franz Aurenhammer, Michael Steinkogler and Rolf Klein Maximal Two-Guard Walks in Polygons
Franz Aurenhammer and Michael Steinkogler On merging straight skeletons
Bastian Weiß, Bert Jüttler and Franz Aurenhammer Mitered offsets and straight skeletons for circular arc polygons
Philip J. Vance, Gautham P. Das, Dermot Kerr, Sonya A. Coleman, T. Martin McGinnity, Tim Gollisch and Jian K. Liu Bioinspired approach to modeling retinal ganglion cells using system identification techniques IEEE Transactions on Neural Networks and Learning Systems 2018, 1796-1808, 2018 , DOI , Link
Franz Aurenhammer, Michael Steinkogler and Rolf Klein Partially walking a polygon
Guillaume Emmanuel Fernand Bellec, Darjan Salaj, Anand Subramoney, Robert Legenstein and Wolfgang Maass Long short-term memory and learning-to-learn in networks of spiking neuronsLong short-term memory and learning-to-learn in networks of spiking neurons
David Kappel, Robert Legenstein, Stefan Habenschuss, Michael Hsieh and Wolfgang Maass A dynamic connectome supports the emergence of stable computational function of neural circuits through reward-based learning eNeuro 2018, 2018 , DOI , Link
N Ananri, C Daskalakis, Wolfgang Maass, C. H. Papadimitriou, A Saberi and S Vempala Smoothed Analysis of Discrete Tensor Decomposition and Assemblies of NeuronsSmoothed Analysis of Discrete Tensor Decomposition and Assemblies of Neurons
Zhaofei Yu, Tiejun Huang and Jian K. Liu Implementation of Bayesian Inference in Distributed Neural NetworksImplementation of Bayesian Inference in Distributed Neural Networks666-673 , Link
Robert Legenstein, Wolfgang Maass, Christos H. Papapdimitriou and Santosh S. Vempala Long Term Memory and the Densest K-Subgraph ProblemLong Term Memory and the Densest K-Subgraph Problem57:1–57:15
Moritz Daniel Kampelmühler, Michael Günther Müller and Christoph Feichtenhofer Camera-based vehicle velocity estimation from monocular videoCamera-based vehicle velocity estimation from monocular video
2017
Zeno Jonke, Robert Legenstein, Stefan Habenschuss and Wolfgang Maass Feedback Inhibition Shapes Emergent Computational Properties of Cortical Microcircuit Motifs The journal of neuroscience 2017, 8511– 8523, 2017 , DOI , Link
Franz Aurenhammer, Bert Jüttler and Günter Paulini Voronoi diagrams for parallel halflines and line segments in spaceVoronoi diagrams for parallel halflines and line segments in space , Link
Franz Aurenhammer, Bert Jüttler and B. Weiß Computing straight skeletons for arc polygons
Michael Günther Müller Variable Binding Through Assemblies in Spiking Neural Networks
Christoph Pokorny, Matias Ison, Robert Legenstein and Wolfgang Maass A model for the formation of associations between memory items in the brain
Jacques Kaiser, Rainer Stal, Anand Subramoney, Arne Roennau and Rüdiger Dillmann Scaling up liquid state machines to predict over address events from dynamic vision sensors Bioinspiration & Biomimetics 2017, 2017 , DOI
Guillaume Bellec, David Kappel, Wolfgang Maass and Robert Legenstein Deep Rewiring arXiv.org e-Print archive 2017, 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 2017, 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 2017, 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 2017, 2017 , DOI
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 2017, 2017
Vida Škreb and Christoph Pokorny Long-term evolution of neural responses in the barrel cortex during learning of a bilateral vibrotactile two-alternative forced choice taskLong-term evolution of neural responses in the barrel cortex during learning of a bilateral vibrotactile two-alternative forced choice task54-87 , Link
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 2017, 1-27, 2017 , DOI , Link
Thomas Limbacher Supervised Learning Algorithms for Spiking Neuromorphic Hardware
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 2016, 2016 , DOI
Dejan Pecevski and Wolfgang Maass Learning Probabilistic Inference through Spike-Timing-Dependent Plasticity eNeuro 2016, 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 2016, 2016 , Link
Wolfgang Maass Energy-efficient neural network chips approach human recognition capabilities Proceedings of the National Academy of Sciences of the United States of America 2016, doi/10.1073/pnas.1614109113, 2016
Zhaofei Yu, David Kappel, Robert Legenstein, Sen Song, Feng Chen and Wolfgang Maass CaMKII activation supports reward-based neural network optimization through Hamiltonian sampling arXiv.org e-Print archive 2016, 2016 , Link
Zeno Jonke, Stefan Habenschuss and Wolfgang Maass Solving constraint satisfaction problems with networks of spiking neurons Frontiers in neuroscience 2016, 2016 , DOI , Link
Wolfgang Maass Searching for principles of brain computation Current Opinion in Behavioral Sciences 2016, 81-92, 2016 , Link
Behnam Taraghi, Anna Saranti, Robert Legenstein and Martin Ebner Bayesian modelling of student misconceptions in the one-digit multiplication with probabilistic programming , Link
Franz Aurenhammer, Günter Paulini and Bert Jüttler Voronoi diagrams for parallel halflines in 3DVoronoi diagrams for parallel halflines in 3D , Link
Franz Aurenhammer and Gernot Christian Walzl Straight skeletons and mitered offsets of nonconvex polytopes Discrete & computational geometry 2016, 743-801, 2016 , Link
2015
Franz Aurenhammer and Gernot Christian Walzl Three-dimensional straight skeletons from bisector graphsThree-dimensional straight skeletons from bisector graphs15-29
David Kappel, Stefan Habenschuss, Robert Legenstein and Wolfgang Maass Synaptic Plasticity as Bayesian Inference , Link
Wolfgang Aigner, Franz Aurenhammer and Bert Jüttler On Triangulation Axes of Polygons Information Processing Letters 2015, 45-51, 2015 , DOI
Wolfgang Maass, David Kappel, Stefan Habenschuss and Robert Legenstein Reward-based network plasticity as Bayesian inference
Wolfgang Maass To spike or not to spike: That is the question. Proceedings of the IEEE 2015, 2219-2224, 2015 , DOI , Link
Oswin Aichholzer, Franz Aurenhammer, Wolfgang Aigner, Bert Jüttler, Katerina Dobiásová and G. Rote Triangulations with circular arcs Journal of Graph Algorithms and Applications 2015, 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 2015, e0134356-e0134356, 2015 , DOI , Link
David Kappel, Stefan Habenschuss, Robert Legenstein and Wolfgang Maass Network plasticity as Bayesian inference PLoS computational biology 2015, e1004485-e1004485, 2015 , DOI , Link
Robert Legenstein Nanoscale connections for brain-like circuits Nature (London) 2015, 37-38, 2015 , Link
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 2015, 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 , Link
Gernot Griesbacher Cell assembly self-organization in ensembles of pyramidal cells with relaxed lateral inhibition , Link
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 2014, 1-22, 2014 , DOI , Link
Robert Legenstein and Wolfgang Maass Ensembles of spiking neurons with noise support optimal probabilistic inference in a dynamically changing environment PLoS computational biology 2014, 1-27, 2014 , DOI , Link
Wolfgang Maass Noise as a resource for computation and learning in networks of spiking neurons Proceedings of the IEEE 2014, 860-880, 2014 , DOI , Link
Dejan Pecevski, David Kappel and Zeno Jonke NEVESIM: event-driven neural simulation framework with a Python interface Frontiers in neuroinformatics 2014, 1-20, 2014 , DOI , Link
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 2014, 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 2014, 1-18, 2014 , DOI , Link
Robert Legenstein A comparison of manual neuronal reconstruction from biocytin histology or 2-photon imaging: morphometry and computer modeling Frontiers in Neuroanatomy 2014, 65-65, 2014 , DOI , Link
Franz Aurenhammer and Günter Paulini On shape Delaunay tessellations Information Processing Letters 2014, 535-541, 2014 , DOI , Link
Franz Aurenhammer, Bing Su, Yinfeng Xu and Binhai Zhu A note on visibility-constrained Voronoi diagrams Discrete applied mathematics 2014, 52-56, 2014 , DOI , Link
Robert Legenstein Recurrent network models, reservoir computingRecurrent network models, reservoir computing1-5
Gernot Griesbacher Self-organization in spiking neural networks , Link
Gregor Michael Hörzer, Robert Legenstein and Wolfgang Maass Emergence of complex computational structures from chaotic neural networks through reward-modulated Hebbian learning Cerebral cortex 2014, 677-690, 2014 , DOI , Link
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 , Link
Stefan Klampfl and Wolfgang Maass Emergence of dynamic memory traces in cortical microcircuit models through STDP The journal of neuroscience 2013, 11515-11529, 2013
Mario Kapl, Franz Aurenhammer and Bert Jüttler Voronoi Diagrams from (possibly discontinous) EmbeddingsVoronoi Diagrams from (possibly discontinous) Embeddings47-50
Johannes Bill, Lars Buesing, Stefan Habenschuss, Bernhard Nessler, Robert Legenstein and Wolfgang Maass Local inhibition facilitates synaptic learning in spatially extended Bayesian spiking networks , Link
Franz Aurenhammer, Rolf Klein and Der Tsai Lee Voronoi Diagrams and Delaunay TriangulationsWolrd Scientific Publishing Company , Link
Elmar Rückert Learned parametrized dynamic movement primitives with shared synergies for controlling robotic and musculoskeletal systems. Frontiers in Computational Neuroscience 2013, 1-18, 2013 , DOI , Link
Bernhard Nessler, Michael Pfeiffer, Lars Buesing and Wolfgang Maass Bayesian computation emerges in generic cortical microcircuits through spike-timing-dependent plasticity PLoS computational biology 2013, e1003037-e1003037, 2013 , Link
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 , Link
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
Franz Aurenhammer, Mario Kapl and Bert Jüttler Voronoi Diagrams from Distance GraphsVoronoi Diagrams from Distance Graphs185-188
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 , Link
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 2013, 1-20, 2013 , DOI , Link
Stefan Habenschuss, Zeno Jonke and Wolfgang Maass Stochastic Computations in Cortical Microcircuit Models PLoS computational biology 2013, e1003311-e1003311, 2013 , Link
Giacomo Indiveri, Bernabé Linares-Barranco, Robert Legenstein, George Deligeorgis and Themistoklis Prodromakis Integration of nanoscale memristor synapses in neuromorphic computing architectures Nanotechnology 2013, 384010-384010, 2013 , DOI , Link
Wolfgang Maass, Stefan Habenschuss and Zeno Jonke Neural circuits naturally encode probability distributions over network states, and over trajectories of network states , Link
Stefan Habenschuss, Helmut Puhr and Wolfgang Maass Emergence of Optimal Decoding of Population Codes through STDP Neural computation 2013, 1371-1407, 2013 , DOI , Link
2012
Elmar Rückert and Gerhard Neumann Stochastic Optimal Control Methods for Investigating the Power of Morphological Computation Artificial life 2012, 115-131, 2012 , DOI , Link
Zeno Jonke, Stefan Habenschuss, Robert Legenstein and Wolfgang Maass Improved feature extraction by pyramidal cells through relaxed lateral inhibition , Link
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 2012, 261-266, 2012 , DOI , Link
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 , Link
Thomas Schiffer, Franz Aurenhammer and Markus Demuth Computing Convex Quadrangulations Discrete applied mathematics 2012, 648-656, 2012 , DOI , Link
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, Wolfgang Aigner and Bert Jüttler 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
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 2012, 1-22, 2012 , DOI , Link
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 2012, 1366-1380, 2012 , DOI , Link
Oswin Aichholzer, Franz Aurenhammer, E. Demaine, F. Hurtado, P.A. Ramos and Jorge Urrutia On k-convex polygons Computational geometry 2012, 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 , Link
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 2011, 757-778, 2011 , DOI , Link
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 2011, e1002211-e1002211, 2011 , DOI , Link
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 , Link
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 2011, 355-370, 2011 , Link
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 2011, 10787-10802, 2011 , Link
Helmut Hauser, Gerhard Neumann, Auke J. Ijspeert and Wolfgang Maass Biologically Inspired Kinematic Synergies Enable Linear Balance Control of a Humanoid Robot Biological cybernetics 2011, 235-249, 2011 , DOI , Link
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 2011, 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 , Link
Dejan Pecevski, Lars Buesing and Wolfgang Maass Probabilistic inference in general graphical models through sampling in stochastic networks of spiking neurons. PLoS computational biology 2011, 1-25, 2011 , DOI , Link
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 2010, 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 2010, 688-699, 2010 , DOI
Robert Legenstein Reinforcement learning on slow features of high-dimensional input streams PLoS computational biology 2010, e1000894-e1000894, 2010 , Link
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 2010, 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 2010, 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 2010, 1-13, 2010 , DOI , Link
Stefan Klampfl and Wolfgang Maass A theoretical basis for emergent pattern discrimination in neural systems through slow feature extraction Neural computation 2010, 2979-3035, 2010 , DOI , Link
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 , Link
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 , Link
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 , Link
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 Die Presse 2010, 23-23, 2010
Wolfgang Maass and Stefan Häusler Hirnforschung - Prothesen für Gelähmte Der Standard 2010, 13-13, 2010
Wolfgang Maass and Stefan Häusler Zeitsprung in der Schüssel Kleine Zeitung / Stadtausgabe 2010, 1-1, 2010
Wolfgang Maass and Stefan Häusler Das Gehirn als Teich, in den man Steine wirft Der Standard 2010, 16-16, 2010
Michael Pfeiffer, Bernhard Nessler, Rodney J. Douglas and Wolfgang Maass Reward-modulated Hebbian Learning of Decision Making Neural computation 2010, 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 2010, 1-12, 2010 , DOI , Link
2009
Gerhard Neumann, Wolfgang Maass and Jan Peters Learning Complex Motions by Sequencing Simpler Motion TemplatesLearning Complex Motions by Sequencing Simpler Motion Templates753-761 , Link
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 2009, 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 , Link
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 2009, 73-87, 2009 , DOI
D. Buonomano and Wolfgang Maass State-dependent computations: Spatiotemporal processing in cortical networks Nature reviews / Neuroscience 2009, 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 2009, 339-349, 2009 , DOI , Link
Stefan Klampfl Replacing supervised classification learning with Slow Feature Analysis in spiking neural networks , Link
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 2009, 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 , Link
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 2009, ---, 2009 , DOI , Link
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
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 , Link
Bernhard Nessler, Michael Pfeiffer and Wolfgang Maass STDP performs stochastic EM to reveal the hidden causes of spatiotemporal spiking patterns , Link
Wolfgang Maass and Stefan Häusler Blick durch die Brille Der Standard 2009, ??-??, 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 Wiener Zeitung 2009, 8-8, 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 2009, 911-959, 2009
Wolfgang Maass and Stefan Häusler Blick zurück Die Presse 2009, ??-??, 2009
A. Steimer, Wolfgang Maass and Rodney Douglas Belief-propagation in networks of spiking neurons Neural computation 2009, 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 2009, 455-462, 2009 , DOI
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 2008, 1-27, 2008
Robert Legenstein On Computational Power and the Order-Chaos Phase Transition in Reservoir Computing
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 and Wolfgang Maass On the classification capability of sign-constrained perceptrons Neural computation 2008, 208-309, 2008
Michael Pfeiffer, Bernhard Nessler and Wolfgang Maass A Hebbian Learning Rule for Optimal Decision Making
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 2008, 134-141, 2008 , DOI
Anna Manuela Meier, Saranti Sonic Explorations with Earthquake DataSonic Explorations with Earthquake Data0-0 , Link
Anna Saranti A., Meier M. "underground sounds": Experimenting with the sounds of earthquakes"underground sounds": Experimenting with the sounds of earthquakes0-0 , Link
Gerhard Neumann Batch-Mode Reinforcement Learning for Continuous State Spaces: A Survey ÖGAI-Journal 2008, 1-1, 2008 , Link
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 2008, 375-380, 2008 , DOI , Link
Johannes Bill Self-Stabilizing Network Architectures on a Neuromorphic Hardware System , Link
Claudia Clopath, Lars Holger Büsing, Eleni Vasilaki and Wulfram Gerstner A unified voltage-based model for STDP, LTP and LTD
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 2008, e1000248-e1000248, 2008 , DOI , Link
Malte Rasch, A. Gretton, Y. Murayama, Wolfgang Maass and N. K. Logothetis Inferring spike trains from local field potentials Journal of neurophysiology 2008, 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 2007, 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 2007, 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 , Link
Oswin Aichholzer, Franz Aurenhammer, Thomas Hackl and Clemens Huemer Connecting colored point sets Discrete applied mathematics 2007, 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 2007, 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 , Link
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 2007, 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 2007, 149-162, 2007 , Link
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 , Link
Franz Aurenhammer Weighted skeletons and fixed-share decomposition Computational geometry 2007, 93-101, 2007
Robert Albin Legenstein Theoretical analysis of learning with reward-modulated spike-timing-dependent plasticity
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 , Link
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 2007, 701-725, 2007
David Sussillo, Taro Toyoizumi and Wolfgang Maass Self-tuning of neural circuits through short-term synaptic plasticity Journal of neurophysiology 2007, 4079-4095, 2007 , DOI
Wolfgang Maass, Prashant Joshi and Eduardo Sontag Computational aspects of feedback in neural circuits PLoS computational biology 2007, 1-20, 2007 , Link
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 2007, 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 2006, 19-22, 2006 , Link
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 2006, 201-221, 2006 , Link
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 , Link
Andreas Opelt, Axel Pinz, Michael Fussenegger and Peter Auer Generic Object Recognition with Boosting IEEE Transactions on Pattern Analysis and Machine Intelligence 2006, 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 , Link
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 , Link
Stefan Klampfl, Robert Albin Legenstein and Wolfgang Maass Information Bottleneck Optimization and Independent Component Extraction with Spiking Neurons , Link
Franz Aurenhammer, R. L. S. Drysdale and Hannes Krasser Farthest line segment Voronoi diagrams Information Processing Letters 2006, 220-225, 2006
Kei Uchizawa, Rodney Douglas and Wolfgang Maass On the computational power of threshold circuits with sparse activity Neural computation 2006, 2995-3008, 2006 , Link
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 , Link
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 2006, e49-e57, 2006 , Link
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 , Link
Wolfgang Maass Book review of "Imitation of life: how biology is inspiring computing" by Nancy Forbes Pattern analysis and applications 2006, 390-391, 2006 , Link
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> 2006, 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 , Link
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 , Link
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 2006, 600-609, 2006 , Link
Johannes Bill Resonant quantum dynamics of neutral spin-1 particles in a magnetic guide Physical review / A 2006, 53609-1-53609-9, 2006 , DOI , Link
2005
Oswin Aichholzer, Franz Aurenhammer, C. Huemer and Hannes Krasser Transforming spanning trees and pseudo-triangulationsTransforming spanning trees and pseudo-triangulations81-84 , Link
Robert Albin Legenstein and Wolfgang Maass Wire length as a circuit complexity measure Journal of computer and system sciences 2005, 53-72, 2005 , Link
Robert Albin Legenstein, Christian Näger and Wolfgang Maass What can a neuron learn with spike-timing-dependent plasticity? Neural computation 2005, 2337-2382, 2005 , Link
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 , Link
Franz Aurenhammer Pre-triangulations: A generalization of Delaunay triangulations and flipsPre-triangulations: A generalization of Delaunay triangulations and flips235-235 , Link
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 , Link
Prashant Joshi and Wolfgang Maass Movement generation with circuits of spiking neurons Neural computation 2005, 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 , Link
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 , Link
Michael Pfeiffer Reinforcement Learning of Strategies for Settlers of Catan , Link
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 , Link
Michael Pfeiffer, Amir Saffari and Andreas Juffinger Predicting Text Relevance from Sequential Reading BehaviorPredicting Text Relevance from Sequential Reading Behavior1-6 , Link
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 2005, 206-218, 2005 , DOI , Link
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 , Link
Thomas Natschläger and Wolfgang Maass Dynamics of information and emergent computation in generic neural microcircuit models Neural networks 2005, 1301-1308, 2005 , Link
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 2004, 593-616, 2004 , Link
Wolfgang Maass, Thomas Natschläger and Henry Markram Computational models for generic cortical microcircuitsComputational models for generic cortical microcircuits575-605 , Link
Ofer Melamed, Wulfram Gerstner, Wolfgang Maass, Misha Tsodyks and Henry Markram Coding and learning of behavioral sequences Trends in neurosciences 2004, 11-14, 2004 , Link
Oswin Aichholzer, Franz Aurenhammer and B. Palop Quickest paths, straight skeletons, and the city Voronoi diagram Discrete & computational geometry 2004, 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 , Link
Michael Pfeiffer Machine Learning Applications in Computer Games ÖGAI-Journal 2004, 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 2004, 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 , Link
Oswin Aichholzer, Franz Aurenhammer, H. Krasser and B. Speckmann Convexity minimizes pseudo-triangulations Computational geometry 2004, 3-10, 2004
Prashant Joshi and Wolfgang Maass Movement generation and control with generic neural microcircuitsMovement generation and control with generic neural microcircuits258-273 , Link
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 2003, 39-50, 2003 , Link
Oswin Aichholzer, Franz Aurenhammer, P. Brass and Hannes Krasser Pseudo-triangulations from surfaces and a novel type of edge flip SIAM journal on computing 2003, 1621-1653, 2003 , Link
Wolfgang Maass Computation with spiking neuronsComputation with spiking neurons1080-1083 , Link
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 , Link
Franz Aurenhammer Pseudo-simplices and their derivationPseudo-simplices and their derivation11-11 , Link
Wolfgang Maass and Henry Markram Temporal integration in recurrent microcircuitsTemporal integration in recurrent microcircuits1159-1163 , Link
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 2003, 5-19, 2003 , Link
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 , Link
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 , Link
Peter L. Bartlett and Wolfgang Maass Vapnik-Chervonenkis dimension of neural netsVapnik-Chervonenkis dimension of neural nets1188-1192 , Link
Oswin Aichholzer, Franz Aurenhammer, F. Hurtado and Hannes Krasser Towards compatible triangulations Theoretical computer science 2003, 3-13, 2003 , Link
2002
Oswin Aichholzer, Franz Aurenhammer and H. Krasser Points and combinatorics Telematik 2002, 12-17, 2002
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 2002, 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 2002, 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 2002, 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 2001, 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 , Link
Stefan Häusler, Wolfgang Maass and Henry Markram Evolution of internal states of neural microcircuits , Link
Oswin Aichholzer, Franz Aurenhammer, F. Hurtado and H. Krasser Towards Compatible TriangulationsTowards Compatible Triangulations101-110 , Link
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 2000, 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 1999, 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 1999, 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 , Link
Oswin Aichholzer, Franz Aurenhammer, Günter Rote and Yinfeng Xu Constant-level greedy triangulations approximate the MWT well Journal of combinatorial optimization 1998, 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, Franz Aurenhammer, Siu-Wing Cheng, N. Katoh, G. Rote, M. Taschwer and Yin-Feng Xu Triangulations intersect nicely Discrete & computational geometry 1996, 339-359, 1996 , Link
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 1995, 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 1994, 17-28, 1994 , Link
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 1993, 131-185, 1993
1992
Franz Aurenhammer, [No Value] F. Hoffmann and [No Value] B. Aronov Minkowski-type theorems and least-squares partitioning
Franz Aurenhammer and G. Stöckl Searching for segments with largest relative overlap
Franz Aurenhammer, [No Value] F. Hoffmann and [No Value] B. Aronov Least-squares partitioning
Franz Aurenhammer and [No Value] Stöckl H. Searching for sements with largest relative overlapSearching for sements with largest relative overlap77-84
Franz Aurenhammer, [No Value] Hoffmann F. and [No Value] Aronov B. Minkowski-type theorems and least-squares partitioningMinkowski-type theorems and least-squares partitioning350-357
Franz Aurenhammer, [No Value] Hoffmann F. and [No Value] Aranov B. Least-squares partitioningLeast-squares partitioning55-57
Franz Aurenhammer and Johann Hagauer Computing equivalence classes among the edges of a graph with applications Discrete Mathematics 1992, 3-12, 1992 , DOI
Franz Aurenhammer, Johann Hagauer and W. Imrich Cartesian graph factorization at logarithmic cost per edge Computational complexity 1992, 331-349, 1992 , DOI
Franz Aurenhammer and Gerd Stöckl Searching for segments with largest relative operlap Information Processing Letters 1992, 103-108, 1992 , DOI
Franz Aurenhammer and Otfried Schwarzkopf A simple on-line randomized incremental algorithm for computing higher order Voronoi diagrams International Journal of Computational Geometry and Applications 1992, 363-381, 1992 , DOI
Franz Aurenhammer, [No Value] F. Hoffmann and [No Value] B. Aronov Minkowski-type theorems and least-squares partitioning.
1991
Franz Aurenhammer and [No Value] J. Hagauer Recognizing binary Hamming graphs in O(n²logn)time
Franz Aurenhammer and O. Schwarzkopf A simple on-line randomized incremental algorithm for computing higher order Voronoi diagrams
Franz Aurenhammer, G. Stöckl and Emo Welzl The post-office problem for fuzzy points sets
Franz Aurenhammer and [No Value] Schwarzkopf O. A simple on-line randomized incremental algorithm for computing higher order Voronoi diagramsA simple on-line randomized incremental algorithm for computing higher order Voronoi diagrams142-151
Franz Aurenhammer, Gerd Stöckl and Emo Welzl The post-office problem for fuzzy point setsThe post-office problem for fuzzy point sets1-11
Franz Aurenhammer and Johann Hagauer Recognizing binary Hamming graphs in O(n²log n) timeRecognizing binary Hamming graphs in O(n²log n) time90-98
Franz Aurenhammer and [No Value] G. Stöckl Searching for segments with largest relative operlap.
Franz Aurenhammer and Gerd Stöckl On the peeper's Voronoi diagram SIGACT news 1991, 50-59, 1991
Franz Aurenhammer The post-office problem for fuzzy points sets.
Franz Aurenhammer Using Gale transforms in computational geometry Mathematical programming 1991, 179-190, 1991
Franz Aurenhammer and Otfried Schwarzkopf A simple on-line randomized incremental algorithm for computing higher order Voronoi diagrams.
Franz Aurenhammer Voronoi diagrams - a survey of a fundamental geometric data structure ACM Computing Surveys 1991, 345-405, 1991
1990
Franz Aurenhammer, [No Value] J. Hagauer and [No Value] W. Imrich Factoring Cartesian-product graphs at lograithmic cost per edge
Franz Aurenhammer and [No Value] G. Stöckl Fenster - Voronoi DiagrammeFenster - Voronoi Diagramme52-52
Franz Aurenhammer, [No Value] Hagauer J. and [No Value] Imrich W. Factoring Cartesian-product graphs at logarithmic cost per edgeFactoring Cartesian-product graphs at logarithmic cost per edge29-44
Franz Aurenhammer A new duality result concerning Voronoi diagrams Discrete & computational geometry 1990, 243-254, 1990
Franz Aurenhammer A relationship between Gale transforms and Voronoi diagrams Discrete applied mathematics 1990, 83-91, 1990
Franz Aurenhammer, [No Value] J. Hagauer and [No Value] W. Imrich Factoring Cartesian-product graphs at logarithmic cost per edge.
Franz Aurenhammer Voronoi diagrams - a survey of a fundamental geomtric data structure.
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.
1989
Franz Aurenhammer and [No Value] J. Hagauer Computing equivalence classes among the edges of a graph with applications
Franz Aurenhammer and [No Value] J. Hagauer Computing equivalence classes among the edges of a graph with applicationsComputing equivalence classes among the edges of a graph with applications11-11
Franz Aurenhammer and [No Value] J. Hagauer Computing equivalence classes among the edges of a graph with applications.
1988
Franz Aurenhammer On-line sorting of twisted sequences in linear timeOn-line sorting of twisted sequences in linear time14-14
Franz Aurenhammer Using Gale transforms in computational geometryUsing Gale transforms in computational geometry202-216
Franz Aurenhammer Algorithmic aspects of Gale transformsAlgorithmic aspects of Gale transforms176-176
Franz Aurenhammer and H. Imai Geometric relations among Voronoi diagrams Geometriae dedicata 1988, 65-75, 1988 , DOI
Franz Aurenhammer On-line sorting of twisted sequences in linear time BIT - Numerical Mathematics 1988, 194-204, 1988 , DOI
Franz Aurenhammer and [No Value] G. Stöckl On the peeper's Voronoi diagram.
Franz Aurenhammer A relationship between Gale transforms and Voronoi diagrams.
Franz Aurenhammer Improved algorithms for discs and balls using power diagrams Journal of algorithms 1988, 151-161, 1988
Franz Aurenhammer Linear combinations from power domains Geometriae dedicata 1988, 45-52, 1988 , DOI
Franz Aurenhammer Using Gale transforms in computational geomtry.
1987
Franz Aurenhammer and [No Value] H. Imai Geometric relations among Voronoi diagrams
Franz Aurenhammer Jordan sorting via convex hulls of certain non-simple polygonsJordan sorting via convex hulls of certain non-simple polygons21-29
Franz Aurenhammer and [No Value] Imai H. Geometric relations among Voronoi diagramsGeometric relations among Voronoi diagrams53-65
Franz Aurenhammer A criterion for the affine equivalence of cell complexes in Rd and convex polyhedra in Rd+1 Discrete & computational geometry 1987, 49-64, 1987
Franz Aurenhammer Power diagrams: properties, algorithms and applications SIAM journal on computing 1987, 78-96, 1987
Franz Aurenhammer Recognizing polytopical cell complexes and constructing projection ployhedra Journal of symbolic computation 1987, 249-255, 1987
Franz Aurenhammer Linear combinations from power domains.
Franz Aurenhammer On-line sorting of twisted sequences in linear time.
1986
Franz Aurenhammer A new duality result concerning Vornonoi diagramsA new duality result concerning Vornonoi diagrams21-32
Franz Aurenhammer The one-dimensional weighted Voronoi diagram Information Processing Letters 1986, 119-123, 1986
Franz Aurenhammer and [No Value] H. Imai Geometric relations among Voronoi diagrams.
1985
Franz Aurenhammer Gewichtete VoronoidiagrammeGewichtete Voronoidiagramme22-22
Franz Aurenhammer Recognizing polytopical cell complexes and constructing projection polyhedra.
Franz Aurenhammer Improved algorithms for discs and balls using power diagrams.
Franz Aurenhammer A criterion for the affine equivalence of cell compleses in Rd and convex polyhedra in Rd+1.
Franz Aurenhammer A new duality result concerning Voronoi diagrams. , Link
1984
Franz Aurenhammer and H. Edelsbrunner An optimal algorithm for constructing the weighted Voronoi diagram in the plane Pattern recognition 1984, 251-257, 1984 , DOI
Franz Aurenhammer Gewichtete Voronoi Diagramme: Geometrische Deutung und Konstruktions-Algorithmen.
1983
Franz Aurenhammer On the generality of power diagrams.
Franz Aurenhammer Power diagrams: properties, algorithms and applications.
Franz Aurenhammer The one-dimensional weighted Voronoi diagram.
Franz Aurenhammer and [No Value] H. Edelsbrunner An optimal algorithm for constructing the weighted Voronoi diagram in the plane. , Link

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