Modeling in Neuroprosthetics

This lecture introduces the use of hybrid neural models for neuroprosthetic devices, describes possible applications for peripheral, spinal, and brain neuroprostheses, and details the implementation approaches. It covers optimization of neuroprosthetic systems, nerve histology, finite element method computations of electrical potential, and biophysical models of myelinated motor fibers. The lecture also discusses sensory feedback restoration in amputees, recruitment curves for microneedles, and restoring locomotion using epidural electrical stimulation. It explores deep brain stimulation, the electromagnetic/recruitment model, and the Izhikevich model. The content includes information on the passive cable equation, nerve fiber models, activating function formalism, and stimulation selectivity.