Charles Wang

This paper identifies distinct neural mechanisms for speech planning and execution using intracranial recordings.

This paper shows that speech BCIs can be trained on combined patient data by aligning neural data to a shared latent space, improving decoding performance compared to patient-specific models.

This study improves speech decoding accuracy using high-resolution ECoG recordings, achieving better phoneme decoding than standard methods.

The paper develops a high-density μECoG system for auditory cognitive decoding in macaques and shows improved decoding with more electrodes over time.