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

IEEE Pulse
Justin SanchezJoseph Francis

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.

References

Jan 5, 2002·Journal of the Optical Society of America. A, Optics, Image Science, and Vision·R L BarbourC H Schmitz
Jun 23, 2004·Nature Reviews. Neuroscience·Stephen H Scott
Jun 26, 2004·Annual Review of Neuroscience·Michael D Mauk, Dean V Buonomano
Nov 24, 2004·Trends in Cognitive Sciences·Joaquín M Fuster
Sep 22, 2010·Proceedings of the National Academy of Sciences of the United States of America·Ryan T CanoltyJose M Carmena
Mar 23, 2011·PloS One·Babak Mahmoudi, Justin C Sanchez

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Citations

Feb 24, 2016·Frontiers in Neuroscience·Salvador Dura-BernalWilliam W Lytton
Dec 5, 2015·Frontiers in Neurorobotics·Salvador Dura-BernalWilliam W Lytton
Aug 12, 2014·Journal of Neuroscience Methods·Robbin A MirandaGeoffrey S F Ling
Oct 9, 2013·Journal of Neural Engineering·Babak MahmoudiJustin C Sanchez
Dec 1, 2015·Drug Development and Industrial Pharmacy·Fernanda Isadora BoniBeatriz Stringhetti Ferreira Cury
May 11, 2017·Brain Informatics·William W LyttonTerence D Sanger
Dec 5, 2017·IBM Journal of Research and Development·S Dura-BernalW W Lytton

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