Reinforcement learning for adaptive threshold control of restorative brain-computer interfaces: a Bayesian simulation

Restorative brain-computer interfaces (BCI) are increasingly used to provide feedback of neuronal states in a bid to normalize pathological brain activity and achieve behavioral gains. However, patients and healthy subjects alike often show a large variability, or even inability, of brain self-regul...

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Detalhes bibliográficos

Principais autores:	Robert eBauer, Alireza eGharabaghi
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2015-02-01
coleção:	Frontiers in Neuroscience
Assuntos:	Neurofeedback Neurorehabilitation reinforcement learning Brain-Computer-Interface Brain-Machine-Interface (BMI) reinforcement learning model
Acesso em linha:	http://journal.frontiersin.org/Journal/10.3389/fnins.2015.00036/full
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