Neurofeedback through the lens of reinforcement learning.
Trends Neurosci
; 45(8): 579-593, 2022 08.
Article
en En
| MEDLINE
| ID: mdl-35550813
Despite decades of experimental and clinical practice, the neuropsychological mechanisms underlying neurofeedback (NF) training remain obscure. NF is a unique form of reinforcement learning (RL) task, during which participants are provided with rewarding feedback regarding desired changes in neural patterns. However, key RL considerations - including choices during practice, prediction errors, credit-assignment problems, or the exploration-exploitation tradeoff - have infrequently been considered in the context of NF. We offer an RL-based framework for NF, describing different internal states, actions, and rewards in common NF protocols, thus fashioning new proposals for characterizing, predicting, and hastening the course of learning. In this way we hope to advance current understanding of neural regulation via NF, and ultimately to promote its effectiveness, personalization, and clinical utility.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Neurorretroalimentación
Tipo de estudio:
Guideline
Límite:
Humans
Idioma:
En
Revista:
Trends Neurosci
Año:
2022
Tipo del documento:
Article
Pais de publicación:
Reino Unido