Shaonan Wang

This paper introduces a brain-behavior generative model that links individual brain dynamics to perceptual decisions by simulating EEG and reaction times across participants.

This study examines how hearing-impaired and normal-hearing listeners process speech in multi-talker scenarios, revealing disruptions in neural responses at shorter and longer temporal scales.

This paper surveys foundation models for non-invasive brain decoding, reviewing their applications and challenges in visual, language, and auditory domains.

The paper investigates how neural trajectories in latent spaces underpin natural language composition, revealing distinct coding strategies and syntactic relations in human neocortical responses.

This study uses fMRI and MEG to identify neural activity patterns during pronoun processing and evaluates symbolic and deep learning models to understand referential processing mechanisms.