Name

Affiliation

Country

Title

Gopala Krishna Anumanchipalli

UC San Francisco

USA

Decoding Speech and Language Representations form the Brain

Seungjin Choi

BARO AI

Korea

Meta-learning: Towards Fast Adaptation in Multi-Subject EEG Classification

Guan Cuntai

Nanyang University of Technology

Singapore

Decoding & Analysis of Motor Imagery with Deep Neural Networks

Alexandre Gramfort

Inria, Université Paris-Saclay

France

From Supervised to Self-supervised Learning on EEG Signals

Dora Hermes

Mayo Clinic

USA

Multimodal Imaging and Its Relation to Brain-Computer Interfaces

Han-Jeong Hwang

Korea University

Korea

Development of Ear-EEG-Based Online Brain-Computer Interface

Andrea Kübler

University of Würzburg

Germany

A Tactile Brain-Computer Interface for Virtual Wheelchair Control at Home

Klaus-Robert Müller

TU Berlin

Germany

Analysing Neural Data with Deep Convolutive Neural Networks

Gabriel Curio

Charité – Universitätsmedizin Berlin

Germany

Listening to Neural Whisper: Non-invasive Single-trial EEG/MEG Analysis of Evoked Human Cerebral Population Spikes

Sung-Phil Kim

UNIST

Korea

Decoding Kinematics-driven Neural Representations of M1 Activity for Intracortical Brain-Machine Interfaces