Editorial: Improving Neuroprosthetics Through Novel Techniques for Processing Electrophysiological Human Brain Signals

Semprini, M, Arnulfo, G, Delis, I orcid.org/0000-0001-8940-5036 et al. (2 more authors) (2022) Editorial: Improving Neuroprosthetics Through Novel Techniques for Processing Electrophysiological Human Brain Signals. Frontiers in Neuroscience, 16. 937801. 937801-. ISSN 1662-4548

Metadata

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

© 2022 Semprini, Arnulfo, Delis, Siebenhühner and Susi. 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(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: computational model, EEG, stereo-EEG (SEEG), artifact removal, BCI—brain computer interface
Dates:
  • Published: 9 June 2022
  • Published (online): 9 June 2022
  • Accepted: 18 May 2022
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Biological Sciences (Leeds) > School of Biomedical Sciences (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 14 Jul 2022 13:38
Last Modified: 14 Jul 2022 13:45
Status: Published
Publisher: Frontiers Media
Identification Number: 10.3389/fnins.2022.937801
Related URLs:
Open Archives Initiative ID (OAI ID):

Download

Export

Statistics


CORE (COnnecting REpositories)