Several workshops will be taking place on Monday, 14 September 2026:
Organizer: Gerwin Schalk, Ph.D. I West China Hospital of Sichuan University, Xiamen, China Confirmed Speakers: Tim Denison, Ph.D. I Oxford University Jörn Rickert, Ph.D. I Karlsruhe Institute for Technology, Germany Olga Dragoy, Ph.D. I Higher School of Economics, Moscow, Russia Ning Jiang, Ph.D. I West China Hospital of Sichuan University, Chengdu, China Date: Monday, September 14, 2026 I Location: Description: Brain-Computer Interface (BCI) research has provided thousands of demonstrations that show that interfacing with the brain has the potential to provide useful and otherwise unattainable benefits. At the same time, with few exceptions, this research has not yet resulted in solutions that can improve brain-related function of a large number of people. Within the purview of our popular workshop series, and based on a formal analysis described in a recent article in Nature Reviews Bioengineering and in its upcoming follow-up article in the same journal, we are now proposing another workshop that is dedicated to the question of how to translate neuroscientific knowledge and engineering achievements into clinically and commercially successful solutions. In the proposed workshop, worldreknown speakers discuss a new 3-stage problem-driven approach to neurotechnology translation and its application to important clinical problems.
Register here
To top
Organizer: Dr. Eduardo Santamaría-Vázquez I PhD Research Scientist at the Dpt. of Signal Theory and Communications of the University of Valladolid, Spain Diego Marco-Martinez, Ana Martin-Fernandez, Beatriz Pascual-Roa I PhD Students at the Dpt. of Signal Theory and Communications of the University of Valladolid, Spain Roberto Hornero I Full Professor at the Dpt. of Signal Theory and Communications of the University of Valladolid, Spain
Date: Monday, September 14, 2026 I Location:
Description:This workshop introduces MEDUSA© (www.medusabci.com), an open-source Python-based ecosystem designed to accelerate the development of modern neurotechnology experiments. MEDUSA© integrates real-time biosignal acquisition, experiment control, signal processing pipelines and deep learning models within a modular and extensible framework. The platform supports synchronized multimodal recordings (e.g., EEG, ECG, fNIRS, eye tracking) and provides ready-to-use paradigms for BCI and cognitive neuroscience research, including code-modulated visual evoked potential spellers, motor imagery, neurofeedback, and neuropsychological assessment tasks. MEDUSA receives annual updates that incorporate community feedback, new experimental paradigms, and enhanced analysis tools since its public release in 2023. The workshop includes an updated technical overview of the framework, followed by a dual-phase practical tutorial. In the first phase, participants will familiarize themselves with the platform and its available BCI experiments. In the second phase, they will design and implement a custom BCI application from scratch, illustrating how MEDUSA enables rapid prototyping and supports reproducible experimentation. It will be beneficial to have prior experience with the Python and C# languages.
Organizers: Merlin Kelly I University College London, UK Peter Bryan I Imperial College London, UK Rishan Patel I University College London, UK Mahnaz Arvaneh I Sheffield University, UK
Date: Monday, September 14, 2026 I from to Location: I Description: Many BCI systems are built on EEG data, but this data represents a small segment of the population. Fewer than 4% of EEG studies report participant race or ethnicity, and the vastmajority of neuroimaging research is drawn from Western, demographically narrow populations. This homogeneity introduces systematic bias into algorithms, limits crosspopulation generalisability, and constrains clinical translation.This 90-minute workshop aims to help BCI researchers understand the scientific case for participant diversity, identify the structural barriers that restrict inclusive data collection,and collaboratively develop practical steps toward more representative research practices.The session opens with an evidence-based review of diversity gaps and their downstream effects on BCI performance. Participants then work in facilitated small groups to identify concrete, field-level recommendations across hardware, dataset reporting, and recruitment practices. No prior background in diversity research is required, only an interest in better science.
Organizers: Marie-Constance Corsi I Paris-Sorbonne Université, France Pierpaolo Sorrentino I Aix-Marseille Université, Marseille, France, Università degli Studi di Napoli Parthenope, Italy Speakers: Marie-Constance Corsi I Paris-Sorbonne Université, France Pierpaolo Sorrentino I Aix-Marseille Université, Marseille, France, Università degli Studi di Napoli Parthenope, Italy Giovanni Messuti I Paris-Sorbonne Université, France, University of Salerno, Italy Nicola Moccaldi I University Federico II of Naples, Italy Jérémie Mattout I Lyon Neuroscience Research Center, University Lyon 1, France Tomko Settgast I Julius-Maximilians-Universität Würzburg, Würzburg, Germany Serafeim Perdikis I University of Essex, UK Arthur Desbois I Paris-Sorbonne Université, France Date: Monday, September 14, 2026 I from to Location: I 8010 Graz, Austria Description: Brain-computer interfaces (BCIs) are entering a new phase of development, yet key challenges remain: enriching decoding information, identifying robust biomarkers, and translating progress into real-world applications. This 3-hour workshop addresses these challenges through complementary perspectives from signal processing, multimodal electrophysiology, theoretical neuroscience, and translational BCI research. The program comprises four thematic sessions. The first examines strategies to enrich BCIrelevant information, by the use of deep-learning EEG–MEG fusion and reproducible ensemblelearning pipelines. The second focuses on emerging biomarkers, covering EEG markers in migraine and beta bursts in sensorimotor dynamics. The third highlights physics-inspired approaches, with contributions on criticality markers and neuronal avalanches as frameworks for adaptive BCIs. The fourth addresses translation into practice, from clinical stroke applications to live software-hardware demonstrations of closed-loop BCI designs. Overall, this workshop offers a timely overview spanning theory, methodological innovation, and translational deployment, promoting reproducibility and community uptake through open dissemination via a dedicated GitHub repository.
Organizers: Fabien Lotte, Sébastien Rimbert, Simon Kojima, I University of Bordeaux, France Maurice Rekrut, Niklas Küper, I DFKI Saarbrücken, Germany Raphaëlle Roy, Pietro Cimarosto, Sébastien Velut, I Université de Toulouse, France Marie-Constance Corsi, Cassandra Dumas, Pauline Dreyer, I Inria Paris / Paris Brain Institute, France, Florian Yger I INSA-Rouen Normandie, France,
Date: Monday, September 14, 2026 I from to Location: I 8010 Graz, Austria
Description: Brain-Computer Interfaces (BCIs) are known to suffer from various variabilities in performances, both inter-user (different users have very different performance) and intra-user ones (the same user can have very different performances across days or context). Such variabilities are a major cause of the current lack of BCI robustness, limiting their practical use and impact. Following-up on the 2024 Graz workshop on “Variabilities in Brain-Computer Interactions”, the present workshop aims at presenting recent advances (in the past couple years) in quantifying such variabilities, understanding the factors explaining/causing them for various BCI types (active, passive & reactive BCIs) and in tackling them, with new dedicated machine learning and signal processing approaches. This workshop will consist of several short talks (5-10 min each) on these topics, intertwined with discussions with the audience, to identify additional knowledge, methods and open research questions on that topic.
Organizers: Joana Pereira I University of Freiburg Medical Center, Germany Michael Tangermann I Radboud University, Netherlands Matthias Dold I Radboud University, Netherlands Date: Monday, September 14, 2026 I from to Location: I 8010 Graz, Austria
Description: Adaptive deep brain stimulation (aDBS) is a closed-loop stimulation that operates on the same principles as brain-computer interfaces (BCIs): it decodes neural signals and uses them to drive therapeutic action by e.g., adjusting stimulation parameters. aDBS is already in clinical use and/or under investigation for several neurological (e.g. Parkinson's Disease) and neuropsychiatric disorders (e.g. depression, obsessive-compulsive disorder). While studies demonstrate feasibility, challenges remain in identifying robust biomarkers, integrating algorithms into fully-implantable hardware, and translating advances into practice. This workshop aims to: ● Review clinical applications and early aDBS experiences ● Discuss non-invasive (EEG) and invasive (LFPs, ECoG) marker discovery for motor and non-motor decoding ● Examine stimulation effects on motor and cognitive performance ● Explore approaches like DBS-evoked potentials for stimulation programming ● Identify pitfalls, safety considerations, and steps for increasing the TRL of aDBS protocols ● Foster dialogue between academia and industry on device capabilities and future directions
Organizers: Sébastien Rimbert, Valérie Marissens Cueva, Fabien Lotte, I University of Bordeaux, France Sebastian Halder I University of Essex, UK Laurent Bougrain I Université de Lorraine, Nancy, France Grégoire Cane I Hôpital Pellegrin, CHU Bordeaux, France, Frédéric Dehais I ISAE-SupAéro, Toulouse, France, Jérémie Mattout I Centre de Recherche en Neurosciences de Lyon, France Oren Shriki I Ben-Gurion University of the Negev, Israel Date: Monday, September 14, 2026 I from to Location: I 8010 Graz, Austria
Description: Reliable assessment of awareness from brain activity remains a major challenge in neuroscience and clinical practice. In situations such as general anesthesia or disorders of consciousness, behavioral responses may be absent or unreliable, making objective consciousness monitoring tools critically needed. Brain-Computer Interfaces (BCIs), combined with EEG-based approaches, provide promising methods to detect covert cognitive processing and monitor changes in brain states across a continuum of consciousness conditions. This workshop will present recent advances in EEG and BCI methods aimed at assessing and tracking consciousness across different clinical and experimental contexts. Contributions will cover somatosensory stimulation-based BCIs, neural criticality metrics, covert cognition detection, and neuro-prognostication in coma patients approaches. By bringing together experts working across anesthesia and disorders of consciousness, this workshop aims to identify shared methodological challenges and promising directions for reliable clinical translation. Short presentations combined with structured interactive discussions will foster interdisciplinary exchanges between BCI researchers, neuroscientists, and clinicians.
Organizer: Marius Klug, Thorsten O. Zander I BTU Cottbus-Senftenberg, Cottbus, Germany Date: Monday, September 14, 2026 I from to Location: I 8010 Graz, Austria
Description: The concept of passive brain-computer interfaces (BCIs) was formally introduced in 2011. It describes systems that decode naturally-occurring brain activity without volitional user effort to enrich human-machine interaction with implicit information about cognitive and affective state. Fifteen years on, passive BCIs have become a recognized subfield, with demonstrated applications in workload monitoring, error detection, and neuroadaptive technology. Yet widespread real-world deployment remains elusive. This workshop takes stock: What theoretical and methodological foundations have held up? Where has progress stalled, and why? What does the next decade require in terms of universal classifiers, unobtrusive hardware, ecological validity, and integration with AI systems? Through a combination of retrospective talks, presentations of current research, and structured interactive discussion, we aim to produce a shared critical assessment of the field’s state and a community-driven agenda for what passive BCI research should prioritize next.
Organizer: Johannes Grünwald, Sebastian Sieghartsleitner, Michael Schwarzgruber I g.tec medical engineering GmbH, Schiedlberg, Austria Sebastian Sieghartsleitner I Johannes Kepler University, Linz, Austria
Description: This hands-on workshop presents an integrated ecosystem for rapid development and deployment of brain-computer interface (BCI) applications, bridging the gap between research prototypes and real-world use. Participants will work with the Unicorn BCI Core-4 and Unicorn BCI Core-8, gaining practical experience in wireless EEG acquisition, setup, and application scenarios. A central focus is g.Pype, g.tec’s Python-based framework for real-time signal processing and application development, enabling rapid prototyping of modular pipelines and interactive visualizations through guided coding exercises. The workshop further demonstrates how applications can be deployed using the g.Pype Runtime in various deployment scenarios with different frontend technologies. Finally, participants will experience interactive BCI applications developed in Unity, showcasing real-time neural control in immersive environments.
Organizer: Franziska Klein I Biomedical Devices and Systems Group OFFIS e.V.- Institut für Informatik, Berlin, Germany Maria Adelia Albano de Aratanha I NIRx Medizintechnik GmbH, Berlin, Germany
Description: Electroencephalography (EEG) has been central to the development of brain–computer interfaces (BCIs). In recent years, complementary modalities such as functional near-infrared spectroscopy (fNIRS) have gained attention, providing hemodynamic signals that enrich BCIs with improved spatial specificity and robustness. This workshop introduces the design and implementation of real-time fNIRS-based BCI systems, focusing on closed-loop neurofeedback and hybrid EEG–fNIRS paradigms. Participants will learn how to transform hemodynamic signals into real-time feedback, covering experimental design, signal quality, and latency-aware decoding. Through live demonstrations using Turbo-Satori, attendees will explore real-time acquisition, adjust processing parameters, and observe their impact within a closed-loop system. The workshop also addresses multimodal integration, highlighting how combining EEG and fNIRS enables more robust, flexible, and spatially informed BCI systems.
