[Eeglablist] Special Issue: The Use of the Brain-Computer Interface (BCI) in Applied Neuroscience

[claudio lucchiari]

  Special Issue "The Use of the Brain-Computer Interface (BCI) in
  Applied Neuroscience: From the Single- to Multi-Brain Approach"

Dear Colleagues,

The BCI translates human brain activity into codes that can be used by a 
computer for many purposes. Traditionally, the BCI has been used to 
detect brain signals so as to translate intentions into commands for a 
machine. However, technological advancements have allowed the 
exploration of other BCI applications, thanks to improved wearability, 
flexibility and reliability, with high ecological validity. In 
particular, applied social neuroscience is a fascinating horizon that 
BCI-based studies have started to explore, moving from individual 
towards multi-brain applications. Thus, instead of studying one person 
at a time, more people may be connected to investigate what happens when 
brains work together. From this perspective, a paradigm called 
hyperfeedback has been developed as a way to extend BCI neurofeedback 
studies to multi-perspective neuroscience.

The aim of this Special Issue is to collect basic and applied BCI 
studies in heterogenous settings, which address single- and multi-brain 
applications. We aim to collect papers that can together demonstrate the 
innovative trends in BCI studies.

Papers reporting theoretical models, technical innovations, 
psychological research and artificial intelligence applications are 
welcome. Targeted reviews, original studies, clinical research and 
everyday life applications can be submitted.

link: 
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Claudio Lucchiari
Maria Elide Vanutelli
/Guest Editors/



Claudio Lucchiari, Ph.D
Associate Professor of Cognitive Psychology
Department of Philosophy
Università degli studi di Milano
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