<html>
<head>
<meta http-equiv="content-type" content="text/html; charset=UTF-8">
</head>
<body text="#000000" bgcolor="#CCFFFF">
<p><b>Special Issue on Advances in Artificial Intelligence and
Machine Learning for BCI/BMI - Bioengineering journal</b><br>
</p>
<div class="moz-forward-container">
<p><font color="#3333ff"><a class="moz-txt-link-freetext"
href="https://www.mdpi.com/journal/bioengineering/special_issues/AI_BCI"
moz-do-not-send="true">https://www.mdpi.com/journal/bioengineering/special_issues/AI_BCI</a></font></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>
Guest Editors: <br>
Assoc. Prof. Dr. Larbi Boubchir (University of Paris 8, France)
<br>
E-mail: <a class="moz-txt-link-abbreviated"
href="mailto:larbi.boubchir@ai.univ-paris8.fr"
moz-do-not-send="true">larbi.boubchir@ai.univ-paris8.fr</a><br>
Prof. Dr. Yuling Yan (Santa Clara University, USA) <br>
E-mail: <a class="moz-txt-link-abbreviated"
href="mailto:yyan1@scu.edu" moz-do-not-send="true">yyan1@scu.edu</a><br>
</p>
<div class="moz-signature">-- <br>
<small><span style="color: rgb(102, 102, 102);">_____________________________________________________</span><br
style="color: rgb(102, 102, 102);">
<span style="color: rgb(102, 102, 102);">Larbi Boubchir, PhD,
SMIEEE</span><br style="color: rgb(102, 102, 102);">
<span style="color: rgb(102, 102, 102);">Associate Professor</span><br
style="color: rgb(102, 102, 102);">
<br style="color: rgb(102, 102, 102);">
<span style="color: rgb(102, 102, 102);">LIASD - University of
Paris 8</span><br style="color: rgb(102, 102, 102);">
<span style="color: rgb(102, 102, 102);">2 rue de la Liberté,
93526 Saint-Denis, France</span><br style="color: rgb(102,
102, 102);">
<span style="color: rgb(102, 102, 102);">Tel. (+33) 1 49 40 67
95</span><br style="color: rgb(102, 102, 102);">
<span style="color: rgb(102, 102, 102);">Email. <a
class="moz-txt-link-abbreviated"
href="mailto:larbi.boubchir@ai.univ-paris8.fr"
moz-do-not-send="true">larbi.boubchir@ai.univ-paris8.fr</a></span><br
style="color: rgb(102, 102, 102);">
<span style="color: rgb(102, 102, 102);"><a
class="moz-txt-link-freetext"
href="http://www.ai.univ-paris8.fr/~boubchir/"
moz-do-not-send="true">http://www.ai.univ-paris8.fr/~boubchir/</a></span><br
style="color: rgb(102, 102, 102);">
<span style="color: rgb(102, 102, 102);">_____________________________________________________</span></small><br>
</div>
<div class="moz-signature"><br>
</div>
</div>
</body>
</html>