[Eeglablist] Special Issue on Advances in Artificial Intelligence and Machine Learning for BCI/BMI - Bioengineering journal

[Larbi Boubchir]

*Special Issue on Advances in Artificial Intelligence and Machine 
Learning for BCI/BMI - Bioengineering journal*

https://www.mdpi.com/journal/bioengineering/special_issues/AI_BCI

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.

The main topics include, but are not limited to, the following:

- Brain–computer interface (BCI)/Brain–machine interface (BMI)
- Artificial intelligence in BCI/BMI
- Machine learning in BCI/BMI
- Deep learning in BCI/BMI
- Brain signal processing for BCI/BMI
- Neurofeedback
- Neural Rehabilitation Engineering
- Related applications

Guest Editors:
Assoc. Prof. Dr. Larbi Boubchir (University of Paris 8, France)
E-mail: larbi.boubchir at ai.univ-paris8.fr
Prof. Dr. Yuling Yan (Santa Clara University, USA)
E-mail: yyan1 at scu.edu

-- 
_____________________________________________________
Larbi Boubchir, PhD, SMIEEE
Associate Professor

LIASD - University of Paris 8
2 rue de la Liberté, 93526 Saint-Denis, France
Tel. (+33) 1 49 40 67 95
Email. larbi.boubchir at ai.univ-paris8.fr
http://www.ai.univ-paris8.fr/~boubchir/
_____________________________________________________

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