Selective visual attention to drive cognitive brain machine interfaces: from concepts to neurofeedback and rehabilitation applications

Selective visual attention to drive cognitive brain machine interfaces: from concepts to neurofeedback and rehabilitation applications

Brain Machine Interfaces (BMI) using motor cortical activity to drive an external effector like a screen cursor or a robotic arm have seen enormous success and proven their great rehabilitation potential. An emerging parallel effort is now directed to BMIs controlled by endogenous cognitive activity...

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Bibliographic Details
Main Authors: Elaine eAstrand, Claire eWardak, Suliann eBen Hamed
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-08-01
Series:Frontiers in Systems Neuroscience
Subjects:
Cognition
Neurofeedback
Prefrontal Cortex
Brain-Computer Interfaces
spatial attention
brain-machine interfaces
Online Access:http://journal.frontiersin.org/Journal/10.3389/fnsys.2014.00144/full

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http://journal.frontiersin.org/Journal/10.3389/fnsys.2014.00144/full

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