[Comp-neuro] Call for papers : Special Issue on Deep Learning Approaches for Brain-Computer Interfaces (Signals - MDPI)

Panagiotis Petrantonakis ppetrant at gmail.com
Tue Oct 20 09:01:24 CEST 2020

 Call For Papers for a Special issue on:

*Deep Learning Approaches for Brain-Computer Interfaces*


*Special Issue Information*

Brain–computer interfaces (BCIs) decipher and translate brain signals into
commands for the surrounding environment. Different types of brain signals,
e.g., EEG and fMRI, have been used as a means to decode intended user
commands, and various machine learning approaches have been tested in such
a task. With the advent of the deep learning (DL) era, new studies have
emerged that exploit the advantages of the deep network architectures for
BCI systems and depict more efficient and reliable brain signal decoding
The aim of this Special Issue is to provide a collection of forefront works
investigating the deployment of various deep network types in different BCI
applications using a variety of brain signals either of unimodal or
multimodal signal processing framework. Topics of interest include but are
not limited to the following:

   - Deep network architectures for BCIs;
   - Transfer learning in BCIs;
   - Big data for DL-based BCIs;
   - Fusion of multiple brain signals for BCIs using DL methods.

*Guest Editor*
 Panagiotis Petrantonakis (ppetrant at iti.gr)

Please do not hesitate to contact me for additional questions.

Kind regards,
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