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

Justin C. Sanchez, William W. Lytton, Jose M. Carmena, Jose C. Principe, Jose Fortes, Randall L. Barbour, Joseph T. Francis

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

The debilitating effects of injury to the nervous system can have a profound effect on daily life activities of the injured person [1]. 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.

Original languageEnglish (US)
Article number6153127
Pages (from-to)57-59
Number of pages3
JournalIEEE Pulse
Volume3
Issue number1
DOIs
StatePublished - Jan 1 2012

ASJC Scopus subject areas

  • Biomedical Engineering

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