Jonathan Viventi

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.

The paper investigates how cortical neurons represent acoustic and electrical cochlear implant stimulation in deafened rats, finding distinct spatio-temporal response profiles.

This study examines cerebellar activity in PINK1 knockout rats during gait, finding hypoactivity in specific frequency bands linked to potential compensatory mechanisms for gait deficits.

This study examines cerebellar activity in hemi-parkinsonian rats during gait and freezing, finding hyperactivity at 21 days post-lesion and reduced activity during freezing.

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.