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Ventral frontostriatal circuitry mediates the computation of reinforcement from symbolic gains and losses.
Tang, Hua; Bartolo, Ramon; Averbeck, Bruno B.
Afiliação
  • Tang H; Laboratory of Neuropsychology, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20814, USA. Electronic address: hua.tang@nih.gov.
  • Bartolo R; Laboratory of Neuropsychology, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20814, USA; Laboratory of Sensorimotor Research, National Eye Institute, National Institutes of Health, Bethesda, MD 20814, USA.
  • Averbeck BB; Laboratory of Neuropsychology, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20814, USA. Electronic address: bruno.averbeck@nih.gov.
Neuron ; 2024 Sep 17.
Article em En | MEDLINE | ID: mdl-39321792
ABSTRACT
Reinforcement learning (RL), particularly in primates, is often driven by symbolic outcomes. However, it is usually studied with primary reinforcers. To examine the neural mechanisms underlying learning from symbolic outcomes, we trained monkeys on a task in which they learned to choose options that led to gains of tokens and avoid choosing options that led to losses of tokens. We then recorded simultaneously from the orbitofrontal cortex (OFC), ventral striatum (VS), amygdala (AMY), and mediodorsal thalamus (MDt). We found that the OFC played a dominant role in coding token outcomes and token prediction errors. The other areas contributed complementary functions, with the VS coding appetitive outcomes and the AMY coding the salience of outcomes. The MDt coded actions and relayed information about tokens between the OFC and VS. Thus, the OFC leads the processing of symbolic RL in the ventral frontostriatal circuitry.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Neuron Assunto da revista: NEUROLOGIA Ano de publicação: 2024 Tipo de documento: Article País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Neuron Assunto da revista: NEUROLOGIA Ano de publicação: 2024 Tipo de documento: Article País de publicação: Estados Unidos