Wills Aligner: A Robust Multi-Subject Brain Representation Learning Approach for Visual Decoding

Wills Aligner is a robust multi-subject brain representation learning approach that overcomes anatomical differences across subjects and learns various cognition patterns to enable efficient and high-performance visual decoding.