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Journal Article

Citation

Tankus A, Fried I, Shoham S. J. Physiol. (Paris) 2014; 108(1): 38-44.

Affiliation

Faculty of Biomedical Engineering, Technion-Israel Institute of Technology, Haifa 32000, Israel; Functional Neurosurgery Unit, Tel-Aviv Medical Center, Tel-Aviv 64239, Israel.

Copyright

(Copyright © 2014, Elsevier Publishing)

DOI

10.1016/j.jphysparis.2013.05.005

PMID

23774120

Abstract

Brain-machine interfaces (BMIs) open new horizons for the treatment of paralyzed persons, giving hope for the artificial restoration of lost physiological functions. Whereas BMI development has mainly focused on motor rehabilitation, recent studies have suggested that higher cognitive functions can also be deciphered from brain activity, bypassing low level planning and execution functions, and replacing them by computer-controlled effectors. This review describes the new generation of cognitive-motor BMIs, focusing on three BMI types: By outlining recent progress in developing these BMI types, we aim to provide a unified view of contemporary research towards the replacement of behavioral outputs of cognitive processes by direct interaction with the brain.


Language: en

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