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Titolo:
Brain-implantable biomimetic electronics as the next era in neural prosthetics
Autore:
Berger, TW; Baudry, M; Brinton, RD; Liaw, JS; Marmarelis, VZ; Park, AY; Sheu, BJ; Tanguay, AR;
Indirizzi:
Univ So Calif, Dept Biomed Engn, Los Angeles, CA 90089 USA Univ So Calif Los Angeles CA USA 90089 ed Engn, Los Angeles, CA 90089 USA Univ So Calif, Dept Biol Sci, Los Angeles, CA 90089 USA Univ So Calif LosAngeles CA USA 90089 iol Sci, Los Angeles, CA 90089 USA Univ So Calif, Pharmaceut Sci Ctr, Dept Mol Pharmacol & Toxicol, Los Angeles, CA 90089 USA Univ So Calif Los Angeles CA USA 90089 Toxicol, Los Angeles, CA 90089 USA Nassda Corp, Santa Clara, CA 95054 USA Nassda Corp Santa Clara CA USA 95054 ssda Corp, Santa Clara, CA 95054 USA Univ So Calif, Dept Elect Engn, Los Angeles, CA USA Univ So Calif Los Angeles CA USA f, Dept Elect Engn, Los Angeles, CA USA Univ So Calif, Dept Mat Sci, Los Angeles, CA USA Univ So Calif Los Angeles CA USA alif, Dept Mat Sci, Los Angeles, CA USA
Titolo Testata:
PROCEEDINGS OF THE IEEE
fascicolo: 7, volume: 89, anno: 2001,
pagine: 993 - 1012
SICI:
0018-9219(200107)89:7<993:BBEATN>2.0.ZU;2-4
Fonte:
ISI
Lingua:
ENG
Soggetto:
NONLINEAR-SYSTEMS ANALYSIS; PATH-DENTATE PROJECTION; SYNAPTIC PLASTICITY; HIPPOCAMPAL-NEURONS; STIMULATION; MEMORY; TRAIN; IDENTIFICATION; ORGANIZATION; POTENTIATION;
Keywords:
biomimetic signal processing; hippocampus; mixed signal; multisite electrode array; neural engineering; neural network; neural prosthetic; neuron-silicon interface; pattern recognition; VLSI;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
57
Recensione:
Indirizzi per estratti:
Indirizzo: Berger, TW Univ So Calif, Dept Biomed Engn, Los Angeles, CA 90089 USA UnivSo Calif Los Angeles CA USA 90089 s Angeles, CA 90089 USA
Citazione:
T.W. Berger et al., "Brain-implantable biomimetic electronics as the next era in neural prosthetics", P IEEE, 89(7), 2001, pp. 993-1012

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 a goal ismany 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 theresulting prosthetic, after intracranial implantation, will receive electrical impulses from targeted subregions of 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.

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Documento generato il 21/01/21 alle ore 03:05:48