Min-Jie Tan

Modeling the selective and lossy nature of visual processing bridges the discrepancy in non-invasive neural decoding

Non-invasive neural decoding seeks to infer visual stimuli from brain recordings, such as EEG and MEG, thereby providing a computational approach for probing human visual information processing. Current contrastive learning approaches align brain signals with image embeddings from pretrained neural networks. However, t...