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Dynamically Repairing and Replacing Neural Networks: Using Hybrid Computational and Biological Tools

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7 Author(s)
Sanchez, J.C. ; Depts. of Biomed. Eng., Univ. of Miami, Coral Gables, FL, USA ; Lytton, W.W. ; Carmena, J.M. ; Principe, J.C.
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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.

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Pulse, IEEE  (Volume:3 ,  Issue: 1 )