Yao Wang

This study identifies high-level visual cortex as the neural substrate for one-shot perceptual learning and develops a deep neural network model that replicates human behavior and neural coding.

This paper introduces a deep learning framework for decoding speech from neural signals, achieving high correlation with original speech spectrograms and providing open-source code.

This study uses a deep learning model to decode speech from neural signals, revealing that frontal and temporal cortex process both feedforward and feedback information during speech production.