Dynamically repairing and replacing neural networks: using hybrid computational and biological tools

IEEE Pulse. 2012 Jan;3(1):57-9. doi: 10.1109/MPUL.2011.2175640.

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.

Publication types

  • Research Support, U.S. Gov't, Non-P.H.S.
  • Review

MeSH terms

  • Animals
  • Humans
  • Models, Biological*
  • Neural Networks, Computer*
  • Software*