Intracortical Brain-Computer Interfaces

Bidirectional neural interfacing with M1-S1 for the restoration of somatosensation in people with paralysis

We develop bidirectional brain–computer interfaces linking motor (M1) and somatosensory (S1) cortex to restore both movement and sensation in people with paralysis. We record and decode neural activity from motor and somatosensory areas to infer intended movements and control neuroprosthetic devices, while delivering patterned electrical stimulation to S1 to convey artificial tactile and proprioceptive information.

Our research investigates how the brain represents touch, pressure, movement, and body state, and how these signals can be encoded and delivered back to the nervous system through intracortical stimulation. By closing the loop between neural activity, prosthetic movement, and artificial sensation, we aim to develop more intuitive and naturalistic neuroprosthetic systems that support dexterous interaction with the environment.

A key focus is understanding how spatiotemporal patterns of cortical stimulation can reproduce meaningful sensory experiences and how sensory feedback can improve motor control, precision, and embodiment. Ultimately, we seek to create fully bidirectional neural interfaces that restore a functional sensorimotor loop for people living with paralysis.