Brain-implantable biomimetic electronics as neural prosthetics

Author

Berger, Theodore W. ; Granacki, John J. ; Marmarelis, Vasilis Z. ; Sheu, Bing J. ; Tanguay, Armand R., Jr.

Author_Institution

Dept. of Biomed. Eng., Univ. of Southern California, Los Angeles, CA, USA

fYear

2003

fDate

20-22 March 2003

Firstpage

108

Lastpage

111

Abstract

Described in this paper is an interdisciplinary effort that will enable the functions of specific brain damaged regions to be replaced by "neurocomputational" microchips that incorporate experimentally-based mathematical models of the nonlinear dynamic properties of biological neurons. To allow the "neurocomputational" microchips to communicate with existing brain tissue, another microcircuitry element has been developed silicon-based multi-electrode 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, the envisioned prosthetic 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.

Keywords

VLSI; biomedical electrodes; biomedical electronics; biomimetics; brain models; mixed analogue-digital integrated circuits; neurophysiology; nonlinear dynamical systems; prosthetics; Si; VLSI-based model; biological neurons; brain tissue; brain-implantable biomimetic electronics; electrical impulses; functioning brain; hardware model; mathematical models; microcircuitry element; neural prosthetics; neurocomputational microchips; neuromorphic silicon-based multi-electrode arrays; nonlinear dynamic properties; region-specific cytoarchitecture; specific brain damaged regions; targeted subregions; Biomedical engineering; Biomimetics; Brain modeling; Circuits; Electrical stimulation; Hippocampus; Materials science and technology; Neurons; Prosthetics; Silicon;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Engineering, 2003. Conference Proceedings. First International IEEE EMBS Conference on

Print_ISBN

0-7803-7579-3

Type

conf

DOI

10.1109/CNE.2003.1196768

Filename

1196768