ON-SITE PARTICIPATION
For detailed information on how, where, and when to join the Spring School on-site, please click on the respective logo below to contact the official host, live viewing hub, or hackathon host directly.
Day 1 - April 20
Foundations, Signal Integrity, and Clinical Translation in Brain–Computer Interfaces
Day 1 establishes the scientific foundation of brain–computer interfaces, from early experimental paradigms to modern clinical systems. High-fidelity EEG, invasive and non-invasive recording architectures, and methodological standards for reproducibility are examined in depth. A fully live demonstration of EEG acquisition highlights real-time signal validation and artifact control. The day concludes with leadership perspectives on standards and clinical translation.
Time zone: CEST (Vienna)
09:00 – Brain–Computer Interfaces: From First Experiments to Clinical Reality
Christoph Guger, g.tec medical engineering GmbH (AT)
11:00 – High-Fidelity EEG: Recording the Brain Properly Wirelessly
Bernard Wong, g.tec medical engineering GmbH (AT)
12:00 – Translating Neurotechnology into Real-World Applications
Brendan Allison, UC San Diego (USA)
13:00 – ECoG and Stereo-EEG: Building High-Performance Invasive BCIs
Christoph Kapeller, g.tec medical engineering GmbH (AT)
14:00 – ECoG in Functional Neurosurgery: Clinical Lessons from the Operating Room
Kyousuke Kamada, Chitose City Hospital (JP)
15:00 – Live Demonstration: High-Fidelity EEG Acquisition Under Real Experimental Conditions
Christoph Guger, Slobodan Tanackovic, g.tec medical engineering GmbH (AT)
16:00 – Multimodal Brain Recording: Integrating EEG and fNIRS
Danut Irimia, g.tec medical engineering GmbH (RO)
17:00 – Reproducibility in BCI: From Signal Quality to Scientific Standards
Leonhard Schreiner, Stanford University (USA)
18:00 – Founders’ Lecture: The Evolution and Future of Brain–Computer Interfaces
Jon Wolpaw, National Center for Adaptive Neurotechnologies (USA)
19:00 – Panel Discussion: The Future of Recording in BCI – Standards, Reproducibility and Clinical Translation
Leonhard Schreiner, Stanford University (USA), Jon Wolpaw, National Center for Adaptive Neurotechnologies (USA), Brendan Allison, UC San Diego (USA)
DAY 1 - SPRING SCHOOL 2026 (1/2)
Part 1 introduces the foundations of brain–computer interfaces, covering the evolution from early experiments to modern clinical applications. Topics include high-fidelity wireless EEG, real-world neurotechnology translation, and invasive recording methods such as ECoG and stereo-EEG. A live demonstration presents practical EEG acquisition under real experimental conditions, highlighting signal quality and artifact control.
DAY 1 - SPRING SCHOOL 2026 (2/2)
Part 2 expands the scientific framework of BCI with multimodal brain recording approaches such as EEG–fNIRS integration and focuses on reproducibility and data quality standards. Leading experts discuss the evolution of brain–computer interfaces and future directions for reliable and clinically meaningful neurotechnology. The session concludes with a panel addressing standards, reproducibility, and translation of BCI research into practice.
Day 2 - April 21
Invasive Brain–Computer Interfaces and Network-Guided Neuromodulation
Day 2 focuses on invasive BCI, high-gamma mapping, cortico-cortical evoked potentials, and deep brain stimulation in clinical practice. Lectures integrate real-time system implementation with surgical applications. A Pioneers Lecture traces the evolution of connectivity mapping in neurosurgery. The day concludes with a panel on limits and future directions of invasive neuromodulation.
Time zone: CEST (Vienna)
09:00 – High-Gamma Activity and Cortico-Cortical Evoked Potentials in Network-Level Brain Mapping
Christoph Kapeller, g.tec medical engineering GmbH (AT)
10:00 – From Patient-Specific Simulations to Probabilistic Mapping for Group-Level Analysis in Deep Brain Stimulation
Simone Hemm, FHNW – University of Applied Sciences Northwestern Switzerland (CH)
11:00 – Direct Electrical Stimulation: Methods, Limits and Intraoperative Applications
Francois Bonnetblanc, CAMIN, Inria, University of Montpellier (FR)
12:00 – Real-Time Closed-Loop Neuromodulation Experiments: System Implementation
Patrick Reitner, g.tec medical engineering GmbH (AT)
13:00 – Pioneers’ Lecture: Cortico-Cortical Evoked Potentials — From Discovery to Network Neurosurgery
Riki Matsumoto, Kyoto University (JP)
14:00 – Oscillatory Neural Dynamics in Acute and Chronic Neuromodulation
Nuri Firat Ince, Mayo Clinic (USA)
15:00 – From Neural Circuits to Surgical Reality: Deep Brain Stimulation and ECoG in Clinical Practice
Aysegul Gunduz, University of Florida (USA)
16:00 – State-of-the-Art Intraoperative Neuromonitoring
Andrea Szelenyi, LMU Munich (DE)
17:00 – An Implantable Brain–Spine Interface Restoring Lower Limb Movement After Complete Spinal Cord Injury
Valeria Spagnolo, EPFL (CH), 3rd Place Winner BCI Award 2025
18:00 – Cortical Remodeling Around Gliomas: How the Brain Reacts to and Fuels Tumor Growth
Gilles Huberfeld, Rothschild Foundation Hospital (FR)
19:00 – Panel Discussion: The Limits and Future of Invasive BCI and Neuromodulation
Nuri Firat Ince, Mayo Clinic (USA), Christoph Kapeller, g.tec medical engineering GmbH (AT), Aysegul Gunduz, University of Florida (USA), Andrea Szelenyi, LMU Munich (DE)
20:00 – Closing Lecture: Brain Stimulation – Clinical Practice and Network Perspectives
Wolf-Julian Neumann, Wyss Center for Bio- and Neuroengineering (CH)
DAY 2 - SPRING SCHOOL 2026 (1/2)
Day 2 explores invasive brain–computer interfaces, focusing on high-gamma mapping, cortico-cortical evoked potentials, and deep brain stimulation in clinical practice. Lectures connect real-time neuromodulation systems with surgical applications and network-level brain mapping approaches. The program concludes with expert perspectives on the limits and future directions of invasive neuromodulation.
DAY 2 - SPRING SCHOOL 2026 (2/2)
This session presents advanced clinical applications of invasive neurotechnology, including intraoperative neuromonitoring, implantable brain-spine interfaces for spinal cord injury, and cortical remodeling in glioma patients. Leading experts discuss how neural circuits adapt to disease and how stimulation technologies can restore function and guide surgical decisions. The program concludes with a panel and closing lecture on the current limits and future perspectives of invasive BCI and neuromodulation.
Day 3 - April 22
From Signals to Meaning: AI and Cognitive Brain–Computer Interfaces
Day 3 explores how neural signals are transformed into meaningful outputs using signal processing and machine learning. Topics include real-time preprocessing, large-scale EEG, speech decoding, and inner speech neuroprosthetics. Live demonstrations illustrate decoding pipelines under operational conditions. The panel addresses scalability, generalization, and ethical considerations in AI-driven BCI.
Time zone: CEST (Vienna)
09:00 – Signal Processing for High-Quality EEG
Johannes Grünwald, g.tec medical engineering GmbH (AT)
10:00 – Feature Extraction and Classification in Brain–Computer Interfaces
Reinhold Scherer, University of Essex (UK)
11:00 – Advanced Biosignal Processing for Auditory Neurotechnology
Adrian Mai, Saarland University & HTW Saar (DE)
12:00 – Engineering High-Performance BCIs for Neurorehabilitation
Jing Jin, East China University of Science and Technology (CN)
13:00 – Interpretable Machine Learning Solutions for EEG, MEG and ECoG Data Analysis
Alex Ossadtchi, Higher School of Economics (RU)
14:00 – AI for BCI Data: Deep Learning and Generalization
Nadia Mammone, University Mediterranea of Reggio Calabria (IT)
15:00 – Neural Speech Decoding from Intracranial Recordings
Nima Mesgarani, Columbia University (USA)
16:00 – An Inner Speech Neuroprosthesis
Erin M. Kunz, Stanford University (USA), 1st Place Winner BCI Award 2025
17:00 – Neuroethical Considerations and Industry–Academic Partnerships
Tristan McIntosh, Washington University School of Medicine (USA)
18:00 – Neuromodulation in Clinical Settings
Jonathon Parker, Mayo Clinic (USA)
19:00 – Panel Discussion: AI in BCI – Generalization, Ethics and the Limits of Decoding
Jonathon Parker, Mayo Clinic (USA), Reinhold Scherer, University of Essex (UK) and Sebastian Sieghartsleitner, g.tec medical engineering GmbH (AT), Alex Ossadtchi, Higher School of Economics (RU)
20:00 – Future Opportunities: Scaling Brain Recording – 1024-Channel EEG and High-Density Systems
Sebastian Sieghartsleitner and Pauline Schomaker, g.tec medical engineering GmbH (AT)
DAY 3 - SPRING SCHOOL 2026 (1/2)
Day 3 focuses on transforming neural signals into meaningful outputs through advanced signal processing and AI-driven brain–computer interfaces. Topics include feature extraction, deep learning, large-scale EEG analysis, and cutting-edge applications such as speech decoding and inner speech neuroprosthetics. Live demonstrations and expert discussions address real-time implementation, scalability, and ethical considerations in AI-powered BCI systems.
DAY 3 - SPRING SCHOOL 2026 (2/2)
This session highlights clinical applications of neuromodulation and explores how AI is shaping the future of brain–computer interfaces. Experts discuss key challenges such as generalization, decoding limits, and ethical considerations in AI-driven BCI systems. The program concludes with future perspectives on scaling brain recording using high-density EEG and next-generation 1024-channel systems.
Day 4 - April 23
EEG–TMS and Perturbational Neuroscience
Day 4 examines perturbation-based neuroscience through EEG–TMS integration, connectivity analysis, and clinical applications in dementia and disorders of consciousness. The program bridges technical implementation with systems-level interpretation. Ethical implications and biomarker reliability are central themes of the closing panel.
Time zone: CEST (Vienna)
09:00 – TMS–EEG with Active and Passive Electrodes: Practical Implementation and Demonstration
Slobodan Tanackovic, g.tec medical engineering GmbH (AT)
10:00 – State-of-the-Art Navigated TMS Technology
Henri Hannula, Nexstim (FI)
11:00 – Studying Local Excitability and Effective Connectivity with TMS–EEG Coregistration
Marta Bortoletto, IMT Lucca (IT)
12:00 – BCIs, Disorders of Consciousness, and Network Integrity
Steven Laureys, CERVO Brain Research Centre (CA)
13:00 – Brain Rhythms Underpinning the Level of Consciousness in Humans
Claudio Babiloni, Sapienza University of Rome (IT)
14:00 – TMS in Alzheimer’s Disease: Mechanisms and Therapeutic Potential
Giacomo Koch, Fondazione Santa Lucia (IT)
15:00 – Tele-TMS: Advancing Automated Neuromodulation through EEG-Informed Robotics
Mitsuaki Takemi, Hiroshima University (JP)
16:00 – Signal Processing for TMS–EEG: Artifact Suppression and Recovery
Johannes Grünwald, g.tec medical engineering GmbH (AT)
17:00 – New Insights on Oscillators and Their Applications to Engineering and Science
Aleksandr S. Khachunts, L. A. Orbeli Institute of Physiology of National Academy of Sciences (AM)
18:00 – High-Precision TMS–EEG in Network Neuroscience
Corey Keller, Stanford University (USA)
19:00 – Panel Discussion: From Biomarkers to Intervention – Ethical and Clinical Boundaries in Neurotechnology
Claudio Babiloni, Sapienza University of Rome (IT), Corey Keller, Stanford University (USA), Maria Antonia Piedrahita López, University of Miami (USA)
20:00 – Closing Lecture: EEG and fNIRS Recordings for BCI Experiments
Maria Antonia Piedrahita López, University of Miami (USA)
DAY 4 - SPRING SCHOOL 2026 (1/2)
Day 4 explores EEG–TMS integration and perturbational neuroscience, focusing on brain connectivity, excitability, and clinical applications in disorders of consciousness and dementia. Lectures combine practical implementation with systems-level insights into how brain networks respond to stimulation. The program highlights challenges in signal processing, biomarker reliability, and ethical considerations in neuromodulation.
DAY 4 - SPRING SCHOOL 2026 (2/2)
Day 4 focuses on EEG–TMS integration and perturbational neuroscience, examining how brain stimulation reveals connectivity and excitability in both healthy and clinical populations. The sessions link hands-on implementation with system-level understanding of neural network responses. Key topics include signal processing challenges, biomarker validity, and ethical aspects of neuromodulation.
Day 5 - April 24
From Code to Control: Building Real-World BCIs
Day 5 transitions from theory to implementation. Real-time system development, Python pipelines, VR/XR integration, Unity-based interfaces, and wearable neurotechnology are presented alongside live demonstrations. A rapid demo session showcases operational BCI systems. The day prepares participants for the global BR41N.IO Hackathon.
Time zone: CEST (Vienna)
09:00 – Wearable Neurotechnology: Fashion, Interaction and Brain–Computer Interfaces
Anouk Wipprecht, Pioneer of fashion-tech interfaces integrating neurotechnology with interactive design (NL)
10:00 – BCI Training in Virtual Reality: Bridging the Gap to the Real World
Tom Carlson, University College of London (UK)
11:00 – Developing and Deploying Neurotechnology Applications in Practice
David B. Grayden, University of Melbourne (AU)
12:00 – Integrating Neurotechnology into Aeromedical Training Systems: EEG, fNIRS and Eye Tracking
Thomas David, AMST Systemtechnik – Aerospace Medicine and Simulation (AT)
13:00 – Python for Real-Time Neuroscience
Johannes Grünwald, g.tec medical engineering GmbH (AT)
14:00 – Exploring Brain Network Connectivity: A Python-Based EEG Pipeline
Reza Abiri, Anna Cetera, University of Rhode Island (USA)
15:00 – From Code to Control: Implementing Practical BCIs
Patrick Reitner, g.tec medical engineering GmbH (AT)
16:00 – Immersive Neurotechnology: BCI Integration in Virtual Environments
Tiago Falk, INRS – Institut national de la recherche scientifique (CA)
17:00 – VR, XR and Unity for Building Interactive Neurotechnologies
Javi Rodriguez and Daniel Romero, g.tec medical engineering GmbH (AT)
18:00 – Real-World Deployment of Brain–Computer Interfaces
Theresa Vaughan, National Center for Adaptive Neurotechnologies (USA)
19:00 – Rapid Demo: Four Real-World BCIs in 20 Minutes
Christoph Guger, g.tec medical engineering GmbH (AT)
19:20 – Panel on Preparation for the Hackathon: Building the Next Generation of BCIs – Tools, Platforms and Creative Applications
Tom Carlson, University College of London (UK), Bernard Wong, g.tec medical engineering GmbH (AT) and Johannes Grünwald, g.tec medical engineering GmbH (AT)
20:00 – Closing Lecture: Unity and BCI: Real-Time Brain-Computer Interfaces
Bernard Wong, g.tec medical engineering GmbH (AT)
DAY 5 - SPRING SCHOOL 2026 (1/2)
Day 5 focuses on building real-world brain–computer interfaces, covering real-time system development, Python pipelines, and integration with VR/XR and Unity-based environments. Live demonstrations showcase operational BCI systems and practical deployment across applications such as training, wearable tech, and immersive interfaces. The program prepares participants for the BR41N.IO Hackathon with hands-on tools, workflows, and expert insights into implementation.
DAY 5 - SPRING SCHOOL 2026 (2/2)
Day 5 centers on the practical development of real-world brain–computer interface systems. Participants work with real-time architectures, build Python-based processing pipelines, and explore integration within VR/XR and Unity environments. Live demos highlight fully functional BCI applications and their use in areas such as training, wearable technologies, and immersive experiences. The day is designed to equip participants with the tools, workflows, and implementation know-how needed for the BR41N.IO Hackathon.
Day 6 - April 25
BR41N.IO Global Hackathon: Launch and Live Development
Day 6 initiates the distributed global hackathon. Participants receive infrastructure guidance, datasets, and system implementation support before forming teams. The hacking phase begins with real-time mentorship and global coordination.
Time zone: CEST (Vienna)
09:00 – Launching BR41N.IO 2026: Global Hackathon Architecture and Hosting Network
Christoph Guger, g.tec medical engineering GmbH (AT) and Hackathon Hosts
10:00 – Real-Time BCI Development: Hardware, APIs and Deployment
Bernard Wong and Pauline Schomaker, g.tec medical engineering GmbH (AT)
11:00 – Available BCI Paradigms and Open Datasets: MI, P300, SSVEP and ECoG
Sebastian Sieghartsleitner, Rupert Ortner and Johannes Grünwald, g.tec medical engineering GmbH (AT)
12:00 – Hackathon Tracks, Evaluation Criteria and Awards
Christoph Guger, g.tec medical engineering GmbH (AT)
Start of BR41N.IO all Day & Night Hacking
DAY 6 - BR41N.IO HACKATHON (1/2)
Day 6 marks the launch of the BR41N.IO Global Hackathon, transitioning participants from preparation into active development. The program introduces the global hackathon infrastructure, hosting network, and technical setup, followed by sessions on real-time BCI development, available paradigms, and open datasets. Participants gain clarity on tracks, evaluation criteria, and award structure before forming teams. The day culminates in the start of continuous, around-the-clock hacking, supported by live mentorship and international coordination.
Day 7 - April 26
BR41N.IO Global Hackathon: Innovation Showcase and Awards
Day 7 culminates in project presentations and live demonstrations from international teams. Innovations are evaluated on technical rigor, creativity, and translational potential. The awards ceremony and certification conclude the hackathon phase.
Time zone: CEST (Vienna)
06:00 – Final Hacking Phase and Project Completion
14:00 – BR41N.IO Project Presentations and Live Demonstrations
18:00 – BR41N.IO Awards Ceremony
18:30 – Certificate Ceremony and Closing Remarks
DAY 7 - BR41N.IO HACKATHON (2/2)
The BR41N.IO Global Hackathon concludes with an intensive showcase of brain-computer interface (BCI) innovation. After a grueling hacking phase, international teams present their live demonstrations to a jury of experts. Projects are judged on three core pillars: Technical Rigor, Creativity, and Translational Potential (how easily the idea can be turned into a real-world medical or consumer product).
Day 8 - April 27
Clinical Neurorehabilitation and Translational BCI
Day 8 addresses clinical implementation of BCI-based neurorehabilitation for stroke, MS, Parkinson’s disease, and emerging indications. Sessions cover trial design, robotic systems, exoskeletons, hospital integration, and outcome assessment. The panel examines scalability and evidence-based translation.
Time zone: CEST (Vienna)
09:00 – Closed-Loop BCI Neurorehabilitation for Stroke, Multiple Sclerosis and Parkinson’s Disease
Christoph Guger, g.tec medical engineering GmbH (AT)
10:00 – Neurorehabilitation with BCI, FES and VR
Pablo Cruz Gonzalez, The Hong Kong Polytechnic University (HK)
11:00 – Non-Invasive BCI for Stroke Rehabilitation: Current Evidence and Clinical Challenges
Subasree Ramakrishnan, National Institute of Mental Health and Neurosciences (IN)
12:00 – Brain–Computer Interfaces for Rehabilitation Robotics
Jose Maria Azorín, Universidad Miguel Hernandez (ES)
13:00 – Restoring Rapid Natural Bimanual Typing with a Neuroprosthesis after Paralysis
Justin Jude, Massachusetts General Hospital (USA)
14:00 – Clinical Neurorehabilitation for Individuals with Stroke Using Advanced Technologies
Joon-Ho Shin, National Rehabilitation Center in Korea (KR)
15:00 – Robotic Neurorehabilitation and Brain–Machine Interfaces
Jose Pons, Shirley Ryan Ability Lab (USA)
16:00 – BCI-Based Rehabilitation for Upper Extremity Stroke
Vivek Prabhakaran, University of Wisconsin (USA)
17:00 – Practical Implementation of BCI-Based Stroke Therapy (Live Session)
Sebastian Sieghartsleitner, g.tec medical engineering GmbH (AT)
18:00 – Neurorehabilitation and Outcome Assessment: Measuring Recovery
David Lin, Harvard University (USA)
19:00 – Panel Discussion: Evidence, Scalability and the Future of BCI-Based Neurorehabilitation
David Lin, Harvard University (USA), Woosang Cho, g.tec medical engineering GmbH (AT) and Jose Pons, Shirley Ryan Ability Lab (USA)
20:00 – Closing Lecture: Amygdala-Based Biomarkers for Emotional and Cognitive Processing
Oded Kraft, Graymatters (IL)
DAY 8 - SPRING SCHOOL 2026 (1/2)
Day 8 of the Spring School 2026 focused on the translation of BCI technology into clinical practice, highlighting its transformative role in treating stroke, Multiple Sclerosis, and Parkinson’s disease. Global experts showcased how combining BCIs with functional electrical stimulation, robotics, and neuroprosthetics can restore motor functions and even enable bimanual typing after paralysis. The day concluded with a deep dive into evidence-based recovery assessment and a panel discussion on the scalability and future of high-tech neurorehabilitation.
DAY 8 - SPRING SCHOOL 2026 (2/2)
Day 8 of the Spring School 2026 focused on the translation of BCI technology into clinical practice, highlighting its transformative role in treating stroke, Multiple Sclerosis, and Parkinson’s disease. Global experts showcased how combining BCIs with functional electrical stimulation, robotics, and neuroprosthetics can restore motor functions and even enable bimanual typing after paralysis. The day concluded with a deep dive into evidence-based recovery assessment and a panel discussion on the scalability and future of high-tech neurorehabilitation.
Day 9 - April 28
Neurophysiological Biomarkers: Prediction and Diagnosis
Day 9 explores biomarkers across disorders of consciousness, dementia, cardiac arrest, emotional processing, concussion, and invasive mapping. Multimodal approaches including EEG, ECG, ECoG, and fMRI are presented. The panel discusses validity, ethics, and clinical reliability of biomarker-based prediction.
Time zone: CEST (Vienna)
09:00 – BCI-Based Assessment and Prediction in Disorders of Consciousness
Christoph Guger, g.tec medical engineering GmbH (AT)
10:00 – mindBEAGLE: Assessment, Communication and Prognosis in Disorders of Consciousness
Sebastian Sieghartsleitner, g.tec medical engineering GmbH (AT)
11:00 – Neurophysiological Biomarkers in Dementia Research
Tomasz M. Rutkowski, The University of Tokyo (JP)
12:00 – Electrophysiological Biomarkers in Disorders of Consciousness
Rossella Spataro, Neurorehabilitation Unit, Villa delle Ginestre Hospital, ASP Palermo (IT)
13:00 – High-Resolution ECG Biomarkers for Neurocardiology Applications and Electrostructural Cardiac Phenotyping
Gabriella Captur, University College of London (UK)
14:00 – Emerging Indications for BCI Neurorehabilitation – Long COVID and Rare Neurological Disorders
Woosang Cho, g.tec medical engineering GmbH (AT)
15:00 – Neurophysiological Biomarkers in Patients with Disorders of Consciousness
Marzia de Lucia, CHUV (CH)
16:00 – DBS biomarkers for Parkinsons and longitudinal biomarkers for chronic ECoG in ALS
Dean Krusienski, Virginia Commonwealth University (USA)
17:00 – Pioneer Lecture: Neural Biomarkers for Biomimetic Movement Reconstruction
Lee Miller, Northwestern University (USA)
18:00 – Biomarkers for Concussion and Mild Traumatic Brain Injury
Kimberly Connolly, VoxNeuro (CA)
19:00 – Panel Discussion: The Future of Neurophysiological Biomarkers – Validity, Ethics and Clinical Translation
Dean Krusienski, Virginia Commonwealth University (USA), Woosang Cho, g.tec medical engineering GmbH (AT) and Lee Miller, Northwestern University (USA)
20:00 – Future Opportunities: Electric Fields across Scales – From Macro to Nano Approaches for Cortical Circuit Modulation
Mavi Sánchez-Vives, IDIBAPS (ES)
DAY 9 - SPRING SCHOOL 2026
Day 9 centered on the identification and clinical application of neurophysiological biomarkers to improve diagnosis and prognosis for disorders of consciousness, dementia, and chronic conditions like ALS. The sessions highlighted multimodal approaches—including EEG, ECoG, and high-resolution ECG—to unlock new insights into brain-cardiac phenotyping and neural reconstruction. The day’s discussions emphasized the ethical and technical challenges of translating these biomarkers into reliable tools for predicting recovery and guiding future cortical modulation.
Day 10 - April 29
High-Gamma Mapping and Functional Neurosurgery
Day 10 focuses on high-frequency brain mapping in invasive BCI and neurosurgery. Topics include real-time high-gamma analysis, electrode technologies, pediatric applications, and network-level cortical dynamics. The program concludes with a panel on advances and limitations, followed by the final examination and closing ceremony.
Time zone: CEST (Vienna)
09:00 – Functional Mapping with Electrocorticography (ECoG)
Christoph Guger, g.tec medical engineering GmbH (AT)
10:00 – Clinical Applications of High-Gamma Activity Mapping in Neurosurgery
Takahiro Sanada, Northwell (USA)
11:00 – Passive Brain Mapping and Time–Frequency Analysis in Neurosurgical Practice
Kyousuke Kamada, Chitose City Hospital (JP)
12:00 – Real-Time Functional Mapping Using High-Gamma and Ultra-High-Gamma Activity
Christoph Kapeller, g.tec medical engineering GmbH (AT)
14:00 – Micro- and Macro-Electrode Design for Invasive Neurophysiology
Emma Acerbo, DIXI Medical (FR)
15:00 – Pioneer Lecture: High-Gamma Mapping in Brain–Computer Interfaces
Peter Brunner, Washington University St. Louis (USA)
16:00 – High-Gamma Mapping with Stereo-EEG in Pediatric Epilepsy Surgery
Masanori Takeoka, Harvard University (USA)
17:00 – Broadband (High-Gamma) Mapping, Power-Laws, and Exploration of Somatotopy in Brain Circuitry
Kai Miller, Mayo Clinic (USA)
18:00 – Panel Discussion: Advances, Limitations and Ethical Boundaries of High-Gamma Mapping
Kai Miller, Mayo Clinic (USA), Christoph Kapeller, g.tec medical engineering GmbH (AT), Takahiro Sanada, Northwell (USA) and Emma Acerbo, DIXI Medical (FR), Masanori Takeoka, Harvard University (USA)
19:00 – CLOSING LECTURE: Whole-Brain Dynamic Causal Tractography: Mapping Human Brain Networks at Millisecond Resolution
Eishi Asano, Wayne State University, Children’s Hospital of Michigan, International Federation of Clinical Neurophysiology (USA)
20:00 – Comprehensive Examination, Social Media Challenge and Closing Ceremony
Christoph Guger, g.tec medical engineering GmbH (AT)
DAY 10 - SPRING SCHOOL 2026
Day 10 focused on the cutting-edge of invasive neurotechnology, specifically real-time high-gamma mapping and its vital role in functional neurosurgery and pediatric applications. Experts discussed advanced electrode design and time-frequency analysis to map human brain networks at millisecond resolution with unprecedented precision. The Spring School concluded with a high-level panel on the ethical boundaries of brain mapping, followed by the final examination and closing ceremony.


































































