Feature Selection Methods for Robust Decoding of Finger Movements in a Non-human Primate
- 1School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ, United States
- 2Viscus Biologics, Cleveland, OH, United States
A corrigendum on
Feature Selection Methods for Robust Decoding of Finger Movements in a Non-human Primate
by Padmanaban, S., Baker, J., and Greger, B. (2018). Front. Neurosci. 12:22. doi: 10.3389/fnins.2018.00022
In the original article, we neglected to include the funder Congressionally Directed Medical Research Programs (CDMRP), W81XWH-14-1-0456 to BG. The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way.
The original article has been updated.
Conflict of Interest Statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Keywords: feature selection, neural decoding, principal component analysis, non-human primate, support vector machine
Citation: Padmanaban S, Baker J and Greger B (2018) Corrigendum: Feature Selection Methods for Robust Decoding of Finger Movements in a Non-human Primate. Front. Neurosci. 12:420. doi: 10.3389/fnins.2018.00420
Received: 22 May 2018; Accepted: 01 June 2018;
Published: 19 June 2018.
Approved by:
Frontiers in Neuroscience Editorial Office, Frontiers Media SA, SwitzerlandCopyright © 2018 Padmanaban, Baker and Greger. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Subash Padmanaban, c3BhZG1hbjlAYXN1LmVkdQ==