Materials associated to the CuttingGarden session dedicated to BCI

Cutting Gardens- EEG and MEG methods multi-hub meeting - 16-19 October 2023

Session 2 - Tuesday, October 17th, 2:20-5:30PM (Lyon Time, GMT+1)

• Reinmar Kobler: Research Scientist, Advanced Telecommunications Research Institute International (ATR) and RIKEN Center for Advanced Intelligence Project (RIKEN AIP), Kyoto, Japan
• Michael Tangermann: Associate Professor, Dept. Artificial Intelligence, Donders Institute, Radboud University, Nijmegen, The Netherlands
• Theresa Vaughan: Research Scientist, National Center for Adaptive Neurotechnologies, Stratton VA Medical Center, Albany NY, United States
• Marie-Constance Corsi: Inria Research Scientist, Inria Paris, Aramis project-team, Paris Brain Institute, France

This workshop intended to gather all the persons interested in Brain-Computer Interfaces (BCI) and Neurofeedback (NFB) - including clinicians, researchers from different fields and industrials. We aim at establishing a lively dialogue between them.

Geometric deep learning meets BCI to advance inter-session and -subject transfer, by Reinmar Kobler (20' talk + 10' brainstorming + 15' Q&A)

Facing the small data reality in event-related potential BCI protocols, by Michael Tangermann (20' talk + 10' brainstorming + 15' Q&A)

Conducting BCI protocols with patients, by Theresa Vaughan (20' talk + 10' brainstorming + 15' Q&A)

Informal discussion preceeded by a short presentation of the main methodological bottlenecks in BCI.

All the questions asked during the session are available here

• McFarland & Wolpaw, 2011, Commun. ACM - Brain-Computer Interfaces for Communication and Control
• McFarland & Vaughan, 2016, Progress in brain research - BCI in practice
• Thompson, 2018, Science and Engineering Ethics - Critiquing the Concept of BCI Illiteracy
• Lotte et al, 2018, JNE - review of classification algorithms used in BCI
• Gonzalez-Astudillo et al, 2020, JNE - review of network-based features in BCI

• OpenViBE - Inria software to perform online experiments
• MOABB - Python package to work with open datasets in order to compare classification pipelines and their replicability
• scikit-learn - Python package to build classification pipelines

• BCI society - international society dedicated to BCI research
• Cybathlons - competitions to promote BCI and to test the finest algorithms with end users!
• CORTICO - French society to promote BCI research