Signal acquisition and analysis for cortical control of neuroprosthetics

Stephen Helms Tillery, Dawn M. Taylor

Research output: Contribution to journalReview article

14 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)758-762
Number of pages5
JournalCurrent Opinion in Neurobiology
Volume14
Issue number6
DOIs
StatePublished - Dec 1 2004

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ASJC Scopus subject areas

  • Neuroscience(all)

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