Reinforcement learning for adaptive threshold control of restorative brain-computer interfaces: a Bayesian simulation
Identifieur interne : 001E57 ( Pmc/Corpus ); précédent : 001E56; suivant : 001E58Reinforcement learning for adaptive threshold control of restorative brain-computer interfaces: a Bayesian simulation
Auteurs : Robert Bauer ; Alireza GharabaghiSource :
- Frontiers in Neuroscience [ 1662-4548 ] ; 2015.
Abstract
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-regulation for BCI control, known as BCI illiteracy. Although current co-adaptive algorithms are powerful for
Url:
DOI: 10.3389/fnins.2015.00036
PubMed: 25729347
PubMed Central: 4325901
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