GitHub

[MICCAI 2025] Code release for CBrain: Cross-Modal Learning for Brain Vigilance Detection in Resting-State fMRI

This codebase is developed based on [1][2]. matplotlib: 3.7.2 For a detailed version, please refer to: environment.yaml. We use Matlab for converting the preprocessed ...
Frontiers

Effects of Visually Induced Motor Imagery-Based Brain-Computer Interface Training on Motor Function in Patients with Incomplete Spinal Cord Injury: A Small-Sample Exploratory Trial

1 Department of Rehabilitation Medicine, The Affiliated Hospital of Qingdao University, Qingdao, China 2 Department of Spinal Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China The ...
IEEE

Constraint-Driven Causal Representation Learning for Vigilance Robust Estimation in Brain–Computer Interface

Abstract: Vigilance estimation is a critical task within the field of brain–computer interfaces, extensively applied in monitoring and optimizing user states during human–machine interaction using ...
IEEE

Mutual Information Learning-Based End-to-End Fusion Network for Hybrid EEG-fNIRS Brain–Computer Interface

Abstract: Hybrid brain–computer interfaces (BCIs) integrating electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) hold great potential, but effectively fusing their ...
Morningstar

Datasea Announces Strategic Collaboration with a Leading Brain-Computer Interface Company in China

BEIJING, Jan. 5, 2026 /PRNewswire/ -- Datasea Inc. (the "Company" or "Datasea") today announced that its China operating subsidiary, Datasea Jingwei Information Technology Co., Ltd., has entered into ...
STAT

What does Neuralink want — to help people with paralysis, or prepare for a war with AI?

O. Rose Broderick reports on the health policies and technologies that govern people with disabilities’ lives. Before coming to STAT, she worked at WNYC’s Radiolab and Scientific American, and her ...