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Bridging event-related potentials with behavioral studies in motor learning.
Deng, Xueqian; Yang, Chen; Xu, Jingyue; Liufu, Mengzhan; Li, Zina; Chen, Juan.
Afiliación
  • Deng X; Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China.
  • Yang C; Center for Studies of Psychological Application, School of Psychology, South China Normal University, Guangzhou, China.
  • Xu J; Key Laboratory of Brain, Cognition and Education Sciences, Ministry of Education, South China Normal University, Guangzhou, China.
  • Liufu M; Department of Neurology, Johns Hopkins University, Baltimore, MD, United States.
  • Li Z; Guangdong Key Laboratory of Mental Health and Cognitive Science, South China Normal University, Guangzhou, China.
  • Chen J; Department of Cognitive Science, University of California, San Diego, La Jolla, CA, United States.
Front Integr Neurosci ; 17: 1161918, 2023.
Article en En | MEDLINE | ID: mdl-37168099
ABSTRACT
Behavioral approaches and electrophysiology in understanding human sensorimotor systems have both yielded substantial advancements in past decades. In fact, behavioral neuroscientists have found that motor learning involves the two distinct processes of the implicit and the explicit. Separately, they have also distinguished two kinds of errors that drive motor learning sensory prediction error and task error. Scientists in electrophysiology, in addition, have discovered two motor-related, event-related potentials (ERPs) error-related negativity (ERN), and feedback-related negativity (FRN). However, there has been a lack of interchange between the two lines of research. This article, therefore, will survey through the literature in both directions, attempting to establish a bridge between these two fruitful lines of research.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Integr Neurosci Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Integr Neurosci Año: 2023 Tipo del documento: Article País de afiliación: China
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