DocumentCode :
1517246
Title :
Brain-implantable biomimetic electronics as the next era in neural prosthetics
Author :
Berger, Theodore W. ; Baudry, Michel ; Brinton, Roberta Diaz ; Liaw, Jim-shih ; Marmarelis, Vasilis Z. ; Park, Alex Yoondong ; Sheu, Bing J. ; Tanguay, Armand R., Jr.
Author_Institution :
Dept. of Biomed. Eng. & Biol. Sci., Univ. of Southern California, Los Angeles, CA, USA
Volume :
89
Issue :
7
fYear :
2001
fDate :
7/1/2001 12:00:00 AM
Firstpage :
993
Lastpage :
1012
Abstract :
An interdisciplinary multilaboratory effort to develop an implantable neural prosthetic that can coexist and bidirectionally communicate with living brain tissue is described. Although the final achievement of such such a goal is many years in the future, it is proposed that the path to an implantable prosthetic is now definable, allowing the problem to be solved in a rational, incremental manner. Outlined in this report is our collective progress in developing the underlying science and technology that will enable the functions of specific brain damaged regions to be replaced by multichip modules consisting of novel hybrid analog/digital microchips. The component microchips are “neurocomputational” incorporating experimentally based mathematical models of the nonlinear dynamic and adaptive properties of biological neurons and neural networks. The hardware developed to date, although limited in capacity, can perform computations supporting cognitive functions such as pattern recognition, but more generally will support any brain function for which there is sufficient experimental information. To allow the “neurocomputational” multichip module to communicate with existing brain tissue, another novel microcircuitry element has been developed-silicon-based multielectrode arrays that are “neuromorphic,” i.e., designed to conform to the region-specific cytoarchitecture of the brain, When the “neurocomputational” and “neuromorphic” components are fully integrated, our vision is that the resulting prosthetic, after intracranial implantation, will receive electrical impulses from targeted subregions of the the brain, process the information using the hardware model of that brain region, and communicate back to the functioning brain. The proposed prosthetic microchips also have been designed with parameters that can be optimized after implantation, allowing each prosthetic to adapt to a particular user/patient
Keywords :
VLSI; biomedical electronics; biomimetics; brain; mixed analogue-digital integrated circuits; multichip modules; neural chips; pattern recognition; prosthetics; VLSI; biocompatibility; brain damaged regions replacement; brain tissue communication; brain-implantable biomimetic electronics; cognitive functions; dynamic synapse; feature extraction; hardware model; hippocampus; hybrid analog/digital microchips; intracranial implantation; kernel estimation; multichip modules; neural prosthetics; neurocomputational chips; neuromorphic components; neuron-silicon interface; pattern recognition; speech recognition; Biological neural networks; Biology computing; Biomimetics; Brain; Hardware; Mathematical model; Multichip modules; Neural prosthesis; Neurons; Prosthetics;
fLanguage :
English
Journal_Title :
Proceedings of the IEEE
Publisher :
ieee
ISSN :
0018-9219
Type :
jour
DOI :
10.1109/5.939806
Filename :
939806
Link To Document :
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