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Toward More Versatile and Intuitive Cortical Brain–Machine Interfaces

Andersen, Richard A. and Kellis, Spencer and Klaes, Christian and Aflalo, Tyson (2014) Toward More Versatile and Intuitive Cortical Brain–Machine Interfaces. Current Biology, 24 (18). R885-R897. ISSN 0960-9822. PMCID PMC4410026. doi:10.1016/j.cub.2014.07.068.

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Brain–machine interfaces have great potential for the development of neuroprosthetic applications to assist patients suffering from brain injury or neurodegenerative disease. One type of brain–machine interface is a cortical motor prosthetic, which is used to assist paralyzed subjects. Motor prosthetics to date have typically used the motor cortex as a source of neural signals for controlling external devices. The review will focus on several new topics in the arena of cortical prosthetics. These include using: recordings from cortical areas outside motor cortex; local field potentials as a source of recorded signals; somatosensory feedback for more dexterous control of robotics; and new decoding methods that work in concert to form an ecology of decode algorithms. These new advances promise to greatly accelerate the applicability and ease of operation of motor prosthetics.

Item Type:Article
Related URLs:
URLURL TypeDescription CentralArticle
Andersen, Richard A.0000-0002-7947-0472
Kellis, Spencer0000-0002-5158-1058
Klaes, Christian0000-0003-4767-9631
Aflalo, Tyson0000-0002-0101-2455
Additional Information:© 2014 Elsevier Ltd. We acknowledge the National Institutes of Health, the Defense Advanced Research Projects Agency, the Boswell Foundation, and the Center for Neural Restoration at the University of Southern California for financial support. We acknowledge Kelsie Pejsa for technical assistance, Viktor Shcherbatyuk for computer support and Tessa Yao for administrative assistance.
Funding AgencyGrant Number
Defense Advanced Research Projects Agency (DARPA)UNSPECIFIED
James G. Boswell FoundationUNSPECIFIED
USC Neurorestoration CenterUNSPECIFIED
Issue or Number:18
PubMed Central ID:PMC4410026
Record Number:CaltechAUTHORS:20141001-092203674
Persistent URL:
Official Citation:Richard A. Andersen, Spencer Kellis, Christian Klaes, Tyson Aflalo, Toward More Versatile and Intuitive Cortical Brain–Machine Interfaces, Current Biology, Volume 24, Issue 18, 22 September 2014, Pages R885-R897, ISSN 0960-9822, (
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:50136
Deposited By: Tony Diaz
Deposited On:09 Oct 2014 22:23
Last Modified:10 Nov 2021 18:52

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