Biophysical Models With Adaptive Online Learning for Direct Neural Control of Prostheses
A direct neural prosthesis controller combining musculoskeletal dynamics with a neural "synergy inversion" model, refined through online learning.
A direct neural prosthesis controller combining musculoskeletal dynamics with a neural "synergy inversion" model, refined through online learning.
Development of a data analysis pipeline using raw electrophysiological data to evaluate drug-based change of functional connectivity between the ventral hippocampus and the prefrontal cortex during anxiety related tasks. Extracting and evaluating single unit activity, spike-phase locking and movement information.
Development of an LCD and a DLP based system for precise stimulation of neurons on a MEA dish.
Construction of a fully functional bionic hand and sensor glove to control it.