Your browser doesn't support javascript.
loading
Graded error signals in eyeblink conditioning.
Rasmussen, Anders.
Afiliação
  • Rasmussen A; Associative Learning, Department of Experimental Medical Science, Lund University, Sweden; Department of Neuroscience, Erasmus Medical Center, Rotterdam, Netherlands. Electronic address: Anders.Rasmussen@med.lu.se.
Neurobiol Learn Mem ; 170: 107023, 2020 04.
Article em En | MEDLINE | ID: mdl-31028891
ABSTRACT
Minimizing errors is an important aspect of learning. However, it is not enough merely to record if an error occurred. For efficient learning, information about the magnitude of errors is critical. Did my tennis swing completely miss the target or did I hit the ball, but not quite in the sweet spot? How can neurons - which have traditionally been thought of as binary units - signal the magnitude of an error? Here I review evidence that eyeblink conditioning - a basic form of motor learning - depends on graded signals from the inferior olive which guides plasticity in the cerebellum and ultimately tunes behavior. Specifically, evidence suggests that (1) Error signals are conveyed to the cerebellum via the inferior olive; (2) Signals from the inferior olive are graded; (3) The strength of the olivary signal affects learning; (4) Cerebellar feedback influences the strength of the olivary signal. I end the review by exploring how graded error signals might explain some behavioral learning phenomena.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Núcleo Olivar / Cerebelo / Condicionamento Palpebral / Neurônios Limite: Animals / Humans Idioma: En Revista: Neurobiol Learn Mem Assunto da revista: BIOLOGIA / CIENCIAS DO COMPORTAMENTO / NEUROLOGIA Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Núcleo Olivar / Cerebelo / Condicionamento Palpebral / Neurônios Limite: Animals / Humans Idioma: En Revista: Neurobiol Learn Mem Assunto da revista: BIOLOGIA / CIENCIAS DO COMPORTAMENTO / NEUROLOGIA Ano de publicação: 2020 Tipo de documento: Article