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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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| Publicado en: | Front Neurosci |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Frontiers Media S.A.
2015
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4325901/ https://ncbi.nlm.nih.gov/pubmed/25729347 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2015.00036 |
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