Name

Affiliation

Country

Title

David Boas

Boston University

USA

Advances in Wearable High Density fNIRS and Utility for BCI

Guan Cuntai

Nanyang University of Technology

Singapore

Geometric deep learning for motor brain-computer interface

Pamela Douglas

UCLA

USA

Advances in EEG Generative Models: Evidence from multimodal data

Silvia Kober

University of Graz

Austria

Can a placebo increase learning rates? Evidence from neurofeedback studies

Konrad Kording

University of Pennsylvania

USA

Neural decoding for BCI: the objectives, principles and the future

Andrea Kübler

University of Würzburg

Germany

Correlates of Consciousness and BCI performance in ALS patients

Klaus-Robert Müller

TU Berlin

Germany

Deep Learning made transferable: studying Brain decoding

Masashi Sugiyama

RIKEN Center for Advanced Intelligence Project/The University of Tokyo

Japan

Overcoming Continuous Distribution Shifts: Challenges in Online Machine Learning

Theresa Vaughan

National Center for Adaptive Neurotechnologies

USA

Practical matters: delivering useful BCIs