3 papers
cs.LG2026
What Are We Actually Decoding? Source Attribution for Non-Invasive Brain-to-Language Retrieval
Xinyu Zhang, Sichao Liu, Runhao Lu +2
In non-invasive neural language decoding, results can be inflated by sources that are not stimulus-evoked neural evidence: decoder priors, embedding-based metrics, and non-neural s…
cs.LG2026
MindAlign: Bridging EEG, Vision, and Language for Zero-Shot Visual Decoding
Zexuan Chen, Sichao Liu, Runhao Lu +4
Visual decoding from brain signals is a key challenge at the intersection of computer vision and neuroscience, requiring methods that bridge neural representations and computationa…
eess.SP2025
BrainOmni: A Brain Foundation Model for Unified EEG and MEG Signals
Qinfan Xiao, Ziyun Cui, Chi Zhang +6
Electroencephalography (EEG) and magnetoencephalography (MEG) measure neural activity non-invasively by capturing electromagnetic fields generated by dendritic currents. Although r…