Signal acquisition and analysis for cortical control of neuroprosthetics.

Abstract:

:Work in cortically controlled neuroprosthetic systems has concentrated on decoding natural behaviors from neural activity, with the idea that if the behavior could be fully decoded it could be duplicated using an artificial system. Initial estimates from this approach suggested that a high-fidelity signal comprised of many hundreds of neurons would be required to control a neuroprosthetic system successfully. However, recent studies are showing hints that these systems can be controlled effectively using only a few tens of neurons. Attempting to decode the pre-existing relationship between neural activity and natural behavior is not nearly as important as choosing a decoding scheme that can be more readily deployed and trained to generate the desired actions of the artificial system. These artificial systems need not resemble or behave similarly to any natural biological system. Effective matching of discrete and continuous neural command signals to appropriately configured device functions will enable effective control of both natural and abstract artificial systems using compatible thought processes.

journal_name

Curr Opin Neurobiol

authors

Tillery SI,Taylor DM

doi

10.1016/j.conb.2004.10.013

subject

Has Abstract

pub_date

2004-12-01 00:00:00

pages

758-62

issue

6

eissn

0959-4388

issn

1873-6882

pii

S0959-4388(04)00165-5

journal_volume

14

pub_type

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