Editorial: Machine learning and signal processing for neurotechnologies and brain-computer interactions out of the lab

Arvaneh, M. orcid.org/0000-0002-5124-3497, Tanaka, T., Raza, H. et al. (2 more authors) (2023) Editorial: Machine learning and signal processing for neurotechnologies and brain-computer interactions out of the lab. Frontiers in Neuroergonomics, 4. 1305482. ISSN 2673-6195

Metadata

Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information:

© 2023 Arvaneh, Tanaka, Raza, Nakanishi and Ward. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) 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.
Keywords: Brain Computer Inteface; machine learning; Neurotechnologies; Signal procesing; Neurosience
Dates:
  • Published: 9 November 2023
  • Published (online): 9 November 2023
  • Accepted: 10 October 2023
  • Submitted: 1 October 2023
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
Funding Information:
Funder
Grant number
DAIWA ANGLO JAPANESE FOUNDATION
UNSPECIFIED
Depositing User: Symplectic Sheffield
Date Deposited: 17 Oct 2023 15:46
Last Modified: 09 Nov 2023 14:44
Published Version: https://www.frontiersin.org/articles/10.3389/fnrgo...
Status: Published
Publisher: Frontiers Media
Refereed: Yes
Identification Number: 10.3389/fnrgo.2023.1305482
Open Archives Initiative ID (OAI ID):

Export

Statistics


CORE (COnnecting REpositories)