Timezone: »
A Brain-Computer Interface (BCI) is a novel augmentative communication system that translates human intentions - reflected by suitable brain signals - into a control signal for an output device such as a computer application or a neuroprosthesis. The crucial point is that the system works without using the normal output pathways of peripheral nerves and muscles, just the manifestation of thought. In developing a BCI system many fields of research are involved, such as classification, signal processing, neurophysiology, measurement technology, psychology, control theory. Since the 1970s several labs succeeded in building BCI systems that can provide feedback control from thoughts. The classical approach is to establish EEG-based control by setting up a system that is controlled by a specific EEG feature which is known to be susceptible to conditioning and to let the subjects learn the voluntary control of that feature, a process that may well require several weeks or month. In recent years a machine learning approach to BCI was pioneered by Fraunhofer FIRST Berlin (NIPS*01) and the IDIAP Institute Martigny in which the system adapts to the individual brain signatures of each user, thereby drastically reducing or even eliminating the need for subject training. Still we are faced with a lot of problems, e.g., the dramatic inter-subject variability in performance and the question how to adapt classifiers online to cope with the changing characteristics of background activity. Furthermore several labs started to investigate Brain-Computer Interfaces that use brain signals recorded invasively from the surface of the cortex or from inside the brain. Due to the challenging problems in the design of the BCI control it is of uttermost necessity to bring together researchers from all involved fields to discuss possible solutions and new directions of research.
Author Information
Klaus-Robert Müller (TU Berlin)
José del R. Millán (IDIAP Research Institute)
Matthias Krauledat (Technical University of Berlin)
Roderick Murray-Smith (University of Glasgow)
Roderick Murray-Smith is a Professor of Computing Science at Glasgow University, leading the Inference, Dynamics and Interaction research group, and heads the 50-strong Section on Information, Data and Analysis, which also includes the Information Retrieval, Computer Vision & Autonomous systems and IDEAS Big Data groups. He works in the overlap between machine learning, interaction design and control theory. In recent years his research has included multimodal sensor-based interaction with mobile devices, mobile spatial interaction, AR/VR, Brain-Computer interaction and nonparametric machine learning. Prior to this he held positions at the Hamilton Institute, NUIM, Technical University of Denmark, M.I.T. (Mike Jordan’s lab), and Daimler-Benz Research, Berlin, and was the Director of SICSA, the Scottish Informatics and Computing Science Alliance (all academic CS departments in Scotland). He works closely with the mobile phone industry, having worked together with Nokia, Samsung, FT/Orange, Microsoft and Bang & Olufsen. He was a member of Nokia's Scientific Advisory Board and a member of the Scientific Advisory Board for the Finnish Centre of Excellence in Computational Inference Research. He has co-authored three edited volumes, 29 journal papers, 18 book chapters, and 88 conference papers. http://www.dcs.gla.ac.uk/~rod/ http://www.dcs.gla.ac.uk/~rod/Publications.htm
Benjamin Blankertz (Berlin Institute of Technology)
More from the Same Authors
-
2023 Poster: Physics-Informed Bayesian Optimization of Variational Quantum Circuits »
Kim Nicoli · Christopher Anders · Lena Funcke · Tobias Hartung · Karl Jansen · Stefan Kühn · Klaus-Robert Müller · Paolo Stornati · Pan Kessel · Shinichi Nakajima -
2023 Poster: DiffInfinite: Large Mask-Image Synthesis via Parallel Random Patch Diffusion in Histopathology »
Marco Aversa · Gabriel Nobis · Miriam Hägele · Kai Standvoss · Mihaela Chirica · Roderick Murray-Smith · Ahmed Alaa · Lukas Ruff · Daniela Ivanova · Wojciech Samek · Frederick Klauschen · Bruno Sanguinetti · Luis Oala -
2022 Poster: Bessel Equivariant Networks for Inversion of Transmission Effects in Multi-Mode Optical Fibres »
Joshua Mitton · Simon Mekhail · Miles Padgett · Daniele Faccio · Marco Aversa · Roderick Murray-Smith -
2022 Poster: So3krates: Equivariant attention for interactions on arbitrary length-scales in molecular systems »
Thorben Frank · Oliver Unke · Klaus-Robert Müller -
2021 Poster: Efficient hierarchical Bayesian inference for spatio-temporal regression models in neuroimaging »
Ali Hashemi · Yijing Gao · Chang Cai · Sanjay Ghosh · Klaus-Robert Müller · Srikantan Nagarajan · Stefan Haufe -
2021 Poster: SE(3)-equivariant prediction of molecular wavefunctions and electronic densities »
Oliver Unke · Mihail Bogojeski · Michael Gastegger · Mario Geiger · Tess Smidt · Klaus-Robert Müller -
2020 : Panel »
Alan Aspuru-Guzik · Jennifer Listgarten · Klaus-Robert Müller · Nadine Schneider -
2020 : Invited Talk: Klaus Robert-Müller & Kristof Schütt: Machine Learning meets Quantum Chemistry »
Klaus-Robert Müller · Kristof Schütt -
2019 Demonstration: Learning Machines can Curl - Adaptive Deep Reinforcement Learning enables the robot Curly to win against human players in an icy world »
Dong-Ok Won · Sang-Hoon Lee · Klaus-Robert Müller · Seong-Whan Lee -
2019 Poster: Explanations can be manipulated and geometry is to blame »
Ann-Kathrin Dombrowski · Maximillian Alber · Christopher Anders · Marcel Ackermann · Klaus-Robert Müller · Pan Kessel -
2018 Workshop: Machine Learning for Molecules and Materials »
José Miguel Hernández-Lobato · Klaus-Robert Müller · Brooks Paige · Matt Kusner · Stefan Chmiela · Kristof Schütt -
2018 Poster: Deep, complex, invertible networks for inversion of transmission effects in multimode optical fibres »
Oisín Moran · Piergiorgio Caramazza · Daniele Faccio · Roderick Murray-Smith -
2017 : Opening Remarks »
Klaus-Robert Müller -
2017 Workshop: Interpreting, Explaining and Visualizing Deep Learning - Now what ? »
Klaus-Robert Müller · Andrea Vedaldi · Lars K Hansen · Wojciech Samek · Grégoire Montavon -
2017 Workshop: Machine Learning for Molecules and Materials »
Kristof Schütt · Klaus-Robert Müller · Anatole von Lilienfeld · José Miguel Hernández-Lobato · Klaus-Robert Müller · Alan Aspuru-Guzik · Bharath Ramsundar · Matt Kusner · Brooks Paige · Stefan Chmiela · Alexandre Tkatchenko · Anatole von Lilienfeld · Koji Tsuda -
2017 : Opening remarks »
Klaus-Robert Müller -
2017 Poster: SchNet: A continuous-filter convolutional neural network for modeling quantum interactions »
Kristof Schütt · Pieter-Jan Kindermans · Huziel Enoc Sauceda Felix · Stefan Chmiela · Alexandre Tkatchenko · Klaus-Robert Müller -
2017 Poster: An Empirical Study on The Properties of Random Bases for Kernel Methods »
Maximilian Alber · Pieter-Jan Kindermans · Kristof Schütt · Klaus-Robert Müller · Fei Sha -
2016 Poster: Wasserstein Training of Restricted Boltzmann Machines »
Grégoire Montavon · Klaus-Robert Müller · Marco Cuturi -
2014 Poster: Covariance shrinkage for autocorrelated data »
Daniel Bartz · Klaus-Robert Müller -
2013 Poster: Robust Spatial Filtering with Beta Divergence »
Wojciech Samek · Duncan Blythe · Klaus-Robert Müller · Motoaki Kawanabe -
2013 Poster: Generalizing Analytic Shrinkage for Arbitrary Covariance Structures »
Daniel Bartz · Klaus-Robert Müller -
2013 Spotlight: Robust Spatial Filtering with Beta Divergence »
Wojciech Samek · Duncan Blythe · Klaus-Robert Müller · Motoaki Kawanabe -
2013 Spotlight: Generalizing Analytic Shrinkage for Arbitrary Covariance Structures »
Daniel Bartz · Klaus-Robert Müller -
2012 Poster: Learning Invariant Representations of Molecules for Atomization Energy Prediction »
Grégoire Montavon · Katja Hansen · Siamac Fazli · Matthias Rupp · Franziska Biegler · Andreas Ziehe · Alexandre Tkatchenko · Anatole von Lilienfeld · Klaus-Robert Müller -
2011 Demonstration: Real-time social media analysis with TWIMPACT »
Mikio L Braun · Matthias L Jugel · Klaus-Robert Müller -
2010 Workshop: Charting Chemical Space: Challenges and Opportunities for AI and Machine Learning »
Pierre Baldi · Klaus-Robert Müller · Gisbert Schneider -
2010 Poster: Layer-wise analysis of deep networks with Gaussian kernels »
Grégoire Montavon · Mikio L Braun · Klaus-Robert Müller -
2009 Poster: Efficient and Accurate Lp-Norm Multiple Kernel Learning »
Marius Kloft · Ulf Brefeld · Soeren Sonnenburg · Pavel Laskov · Klaus-Robert Müller · Alexander Zien -
2009 Poster: Subject independent EEG-based BCI decoding »
Siamac Fazli · Cristian Grozea · Márton Danóczy · Benjamin Blankertz · Florin Popescu · Klaus-Robert Müller -
2009 Spotlight: Subject independent EEG-based BCI decoding »
Siamac Fazli · Cristian Grozea · Márton Danóczy · Benjamin Blankertz · Florin Popescu · Klaus-Robert Müller -
2008 Poster: Playing Pinball with non-invasive BCI »
Michael W Tangermann (ne Schröder) · Matthias Krauledat · Konrad Grzeska · Max Sagebaum · Benjamin Blankertz · Klaus-Robert Müller -
2008 Poster: Estimating vector fields using sparse basis field expansions »
Stefan Haufe · Vadim Nikulin · Andreas Ziehe · Klaus-Robert Müller · Guido Nolte -
2007 Spotlight: Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing »
Benjamin Blankertz · Motoaki Kawanabe · Ryota Tomioka · Friederike Hohlefeld · Vadim Nikulin · Klaus-Robert Müller -
2007 Poster: Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing »
Benjamin Blankertz · Motoaki Kawanabe · Ryota Tomioka · Friederike Hohlefeld · Vadim Nikulin · Klaus-Robert Müller -
2007 Poster: EEG-Based Brain-Computer Interaction: Improved Accuracy by Automatic Single-Trial Error Detection »
Pierre W Ferrez · José del R. Millán -
2007 Poster: Heterogeneous Component Analysis »
Shigeyuki Oba · Motoaki Kawanabe · Klaus-Robert Müller · Shin Ishii -
2007 Spotlight: Heterogeneous Component Analysis »
Shigeyuki Oba · Motoaki Kawanabe · Klaus-Robert Müller · Shin Ishii -
2006 Poster: Logistic Regression for Single Trial EEG Classification »
Ryota Tomioka · Kazuyuki Aihara · Klaus-Robert Müller -
2006 Poster: Towards Zero-Training for Brain-Computer Interface Experiments »
Matthias Krauledat · Michael Schröder · Benjamin Blankertz · Klaus-Robert Müller -
2006 Spotlight: Logistic Regression for Single Trial EEG Classification »
Ryota Tomioka · Kazuyuki Aihara · Klaus-Robert Müller -
2006 Poster: Inducing Metric Violations in Human Similarity Judgements »
Julian Laub · Jakob H Macke · Klaus-Robert Müller · Felix A Wichmann -
2006 Poster: Denoising and Dimension Reduction in Feature Space »
Mikio L Braun · Joachim M Buhmann · Klaus-Robert Müller