Cognitive control signals for neural prosthetics

S. Musallam, B. D. Corneil, B. Greger, H. Scherberger, R. A. Andersen

Research output: Contribution to journalArticlepeer-review

534 Scopus citations

Abstract

Recent development of neural prosthetics for assisting paralyzed patients has focused on decoding intended hand trajectories from motor cortical neurons and using this signal to control external devices. In this study, higher level signals related to the goals of movements were decoded from three monkeys and used to position cursors on a computer screen without the animals emitting any behavior. Their performance in this task improved over a period of weeks. Expected value signals related to fluid preference, the expected magnitude, or probability of reward were decoded simultaneously with the intended goal. For neural prosthetic applications, the goal signals can be used to operate computers, robots, and vehicles, whereas the expected value signals can be used to continuously monitor a paralyzed patient's preferences and motivation.

Original languageEnglish (US)
Pages (from-to)258-262
Number of pages5
JournalScience
Volume305
Issue number5681
DOIs
StatePublished - Jul 9 2004
Externally publishedYes

ASJC Scopus subject areas

  • General

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