Gavin Mischler

This study compares the hierarchical processing of speech in the human auditory cortex with a recurrent ASR model, finding parallel representations across acoustic, phonetic, lexical, and semantic stages.

This study uses large language models to analyze how attention affects neural tracking of linguistic context in multi-talker speech environments.

This study uses electrophysiological recordings and generative music models to show that musicians have more structured and left-hemisphere biased neural encoding of music compared to non-musicians.

This paper introduces QA encoding models that convert qualitative language theories into interpretable brain response predictors, outperforming baselines in fMRI and ECoG data.