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<p><b>Special Issue on "Advances in Artificial Intelligence and
Machine Learning for BCI/BMI"</b><br>
Journal: Bioengineering (ISSN 2306-5354).<br>
Deadline for manuscript submissions: 31 December 2020.<br>
URL:<a class="moz-txt-link-freetext" href="https://www.mdpi.com/journal/bioengineering/special_issues/AI_BCI">https://www.mdpi.com/journal/bioengineering/special_issues/AI_BCI</a><br>
Flyer:
<a class="moz-txt-link-freetext" href="https://www.mdpi.com/journal/bioengineering/special_issues/AI_BCI">https://www.mdpi.com/journal/bioengineering/special_issues/AI_BCI</a><br>
<br>
Dear colleagues,</p>
<p>The brain–computer interface (BCI), also called the brain–machine
interface (BMI), is an emerging technology involving software and
hardware communication systems allowing the use of brain activity
to control external devices such as computers, robots, and
machines. BCI systems translate the activity of the brain to
conduct an action or a command that will be executed by the
external device. Artificial intelligence (AI)/machine learning
(ML) has received great attention for the development of BCI
applications to solve difficult problems in several domains, in
particular, medical and robotic fields. AI/ML has since become the
most efficient tool for BCI systems. This Special Issue aims to
solicit original research papers as well as review articles
focusing on recent advances in AI/ML for BCI research.<br>
<br>
The main topics include, but are not limited to, the following:<br>
<br>
- Brain–computer interface (BCI)/Brain–machine interface (BMI)<br>
- Artificial intelligence in BCI/BMI<br>
- Machine learning in BCI/BMI<br>
- Deep learning in BCI/BMI<br>
- Brain signal processing for BCI/BMI<br>
- Neurofeedback<br>
- Neural Rehabilitation Engineering<br>
- Related applications<br>
<br>
Assoc. Prof. Dr. Larbi Boubchir <br>
Prof. Dr. Yuling Yan<br>
Guest Editors<br>
<br>
<b>Manuscript Submission Information</b><br>
<br>
Manuscripts should be submitted online at <a class="moz-txt-link-abbreviated" href="http://www.mdpi.com">www.mdpi.com</a> by
registering and logging in to this website. Once you are
registered, click here to go to the submission form. Manuscripts
can be submitted until the deadline. All papers will be
peer-reviewed. Accepted papers will be published continuously in
the journal (as soon as accepted) and will be listed together on
the special issue website. Research articles, review articles as
well as short communications are invited. For planned papers, a
title and short abstract (about 100 words) can be sent to the
Editorial Office for announcement on this website.<br>
<br>
Submitted manuscripts should not have been published previously,
nor be under consideration for publication elsewhere (except
conference proceedings papers). All manuscripts are thoroughly
refereed through a single-blind peer-review process. A guide for
authors and other relevant information for submission of
manuscripts is available on the Instructions for Authors page.
Bioengineering is an international peer-reviewed open access
quarterly journal published by MDPI.<br>
<br>
Please visit the Instructions for Authors page before submitting a
manuscript. The Article Processing Charge (APC) for publication in
this open access journal is 1000 CHF (Swiss Francs). Submitted
papers should be well formatted and use good English. Authors may
use MDPI's English editing service prior to publication or during
author revisions. <br>
<br>
<b>Special Issue Editors:</b><br>
<br>
Assoc. Prof. Dr. Larbi Boubchir (<a class="moz-txt-link-abbreviated" href="mailto:larbi.boubchir@ai.univ-paris8.fr">larbi.boubchir@ai.univ-paris8.fr</a>)<br>
Guest Editor<br>
LIASD research Lab., University of Paris 8, France<br>
Interests: biomedical signal processing; EEG; image processing;
machine learning; brain–computer interface; biometrics<br>
<br>
Prof. Dr. Yuling Yan (<a class="moz-txt-link-abbreviated" href="mailto:yyan1@scu.edu">yyan1@scu.edu</a>)<br>
Guest Editor<br>
Department of Bioengineering, Santa Clara University, USA<br>
Interests: biosignal processing; bioimaging; AI-assisted disease
classification; laryngeal dynamics and physiology; biomedical
visualization; brain-computer interface</p>
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