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Invited Speakers
Name
Affiliation
Country
Title
UC San Francisco
USA
Decoding Speech and Language Representations form the Brain
BARO AI
Korea
Meta-learning: Towards Fast Adaptation in Multi-Subject EEG Classification
Nanyang University of Technology
Singapore
Decoding &Analysis of Motor Imagery with Deep Neural Networks
Inria, Université Paris-Saclay
France
From Supervised to Self-supervised Learning on EEG Signals
Mayo Clinic
USA
Multimodal Imaging and Its Relation to Brain-Computer Interfaces
Korea University
Korea
Development of Ear-EEG-Based Online Brain-Computer Interface
University of Würzburg
Germany
A Tactile Brain-Computer Interface for Virtual Wheelchair Control at Home
TU Berlin
Germany
Analysing Neural Data with Deep Convolutive Neural Networks
Charité – Universitätsmedizin Berlin
Germany
Listening to Neural Whisper: Non-invasive Single-trial EEG/MEG Analysis of Evoked Human Cerebral Population Spikes
UNIST
Korea
Decoding Kinematics-driven Neural Representations of M1 Activity for Intracortical Brain-Machine Interfaces