title: Dynamically repairing and replacing neural networks: using hybrid computational and biological tools.
abstract: The debilitating effects of injury to the nervous system can have a profound effect on daily life activities of the injured person. In this article, we present a project overview in which we are utilizing computational and biological principles, along with simulation and experimentation, to create a realistic computational model of natural and injured sensorimotor control systems. Through the development of hybrid in silico/biological coadaptive symbiotic systems, the goal is to create new technologies that yield transformative neuroprosthetic rehabilitative solutions and a new test bed for the development of integrative medical devices for the repair and enhancement of biological systems.
authors.affiliation: Department of Biomedical Engineering, Miami Project to Cure Paralysis, University of Miami, Coral Gables, Florida, USA. jcsanchez@ miami.edu
authors.forename: Justin
authors.initials: J
authors.lastname: Sanchez
authors.forename: William
authors.initials: W
authors.lastname: Lytton
authors.forename: Jose
authors.initials: J
authors.lastname: Carmena
authors.forename: Jose
authors.initials: J
authors.lastname: Principe
authors.forename: Jose
authors.initials: J
authors.lastname: Fortes
authors.forename: Randall
authors.initials: R
authors.lastname: Barbour
authors.forename: Joseph
authors.initials: J
authors.lastname: Francis
mesh_terms: D000818:Animals; D006801:Humans; D008954:Models, Biological; D016571:Neural Networks, Computer; D012984:Software