[Eeglablist] Special Issue in Advances in Principles, Methods and Applications of Brain-Computer Interaction (IF:3.847)

[Athanasios Vourvopoulos]

Special Issue: Advances in Principles, Methods and Applications of 
Brain-Computer Interaction

URL: https://urldefense.com/v3/__https://www.mdpi.com/journal/sensors/special_issues/9NA0DXKG50__;!!Mih3wA!EJ5T589aSE1NO2azCFmlvwQ09SYleYHeXh5FWJUGhSuip2Glz4urC0D1M2GpB7tySRv-pSwou2HLyEBkdL51nKqQPiI_ZeM4oxDM6zdYiA$ 

Journal: Sensors (IF:3.847)


Dear Colleagues,

This Special Issue aims to collect papers on a broad spectrum of 
specific topics reflecting recent advances in the methodology, design 
and applicability of BCI. The following are indicative of the kind of 
topics under discussion:

  * Low-cost, portable, unobtrusive and robust sensors for
    brain–computer interfaces;
  * Open-source software platforms for BCI;
  * The combination of brain imaging technologies with physiological sensors
  * Brain–computer interface applications and user evaluation studies;
  * Novel signal processing and machine learning for BCI, with emphasis
    on transfer and deep learning methods;
  * New user training paradigms and advanced co-adaptive approaches for
    BCI learning;
  * Benchmarking studies and production of big datasets BCI methods.

Dr. Serafeim Perdikis
Dr. Athanasios Vourvopoulos
/Guest Editors/