A Caltech Library Service

Selecting the signals for a brain–machine interface

Andersen, Richard A. and Musallam, Sam and Pesaran, Bijan (2004) Selecting the signals for a brain–machine interface. Current Opinion in Neurobiology, 14 (6). pp. 720-726. ISSN 0959-4388. doi:10.1016/j.conb.2004.10.005.

Full text is not posted in this repository. Consult Related URLs below.

Use this Persistent URL to link to this item:


Brain–machine interfaces are being developed to assist paralyzed patients by enabling them to operate machines with recordings of their own neural activity. Recent studies show that motor parameters, such as hand trajectory, and cognitive parameters, such as the goal and predicted value of an action, can be decoded from the recorded activity to provide control signals. Neural prosthetics that use simultaneously a variety of cognitive and motor signals can maximize the ability of patients to communicate and interact with the outside world. Although most studies have recorded electroencephalograms or spike activity, recent research shows that local field potentials (LFPs) offer a promising additional signal. The decode performances of LFPs and spike signals are comparable and, because LFP recordings are more long lasting, they might help to increase the lifetime of the prosthetics.

Item Type:Article
Related URLs:
URLURL TypeDescription
Andersen, Richard A.0000-0002-7947-0472
Additional Information:© 2004 Elsevier Ltd. Available online 2 November 2004. We thank K Pejsa, L Martel, V Shcherbatyuk and T Yao for the support that has made this work possible, and H Scherberger, B Corneil, B Greger, J Burdick, I Fineman, D Meeker, D Rizzuto, G Mulliken, R Battacharyya H Glidden, M Nelson and K Bernheim for stimulating discussion. We thank the National Eye Institute, the Defense Advanced Research Projects Agency, the James G. Boswell Foundation, the Office of Naval Research, the Sloan-Swartz Center for Theoretical Neurobiology at Caltech, the Christopher Reeve Paralysis Foundation and the Burroughs–Welcome Fund for their generous support.
Funding AgencyGrant Number
National Eye InstituteUNSPECIFIED
Defense Advanced Research Projects Agency (DARPA)UNSPECIFIED
James G. Boswell FoundationUNSPECIFIED
Office of Naval Research (ONR)UNSPECIFIED
Sloan-Swartz Center for Theoretical NeurobiologyUNSPECIFIED
Christopher Reeve Paralysis FoundationUNSPECIFIED
Burroughs-Welcome FundUNSPECIFIED
Issue or Number:6
Record Number:CaltechAUTHORS:20200401-081857624
Persistent URL:
Official Citation:Richard A Andersen, Sam Musallam, Bijan Pesaran, Selecting the signals for a brain–machine interface, Current Opinion in Neurobiology, Volume 14, Issue 6, 2004, Pages 720-726, ISSN 0959-4388, (
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:102222
Deposited By: Tony Diaz
Deposited On:01 Apr 2020 15:36
Last Modified:16 Nov 2021 18:10

Repository Staff Only: item control page