Reward-Guided Learning with and without Causal Attribution.
Neuron
; 90(1): 177-90, 2016 Apr 06.
Article
em En
| MEDLINE
| ID: mdl-26971947
ABSTRACT
When an organism receives a reward, it is crucial to know which of many candidate actions caused this reward. However, recent work suggests that learning is possible even when this most fundamental assumption is not met. We used novel reward-guided learning paradigms in two fMRI studies to show that humans deploy separable learning mechanisms that operate in parallel. While behavior was dominated by precise contingent learning, it also revealed hallmarks of noncontingent learning strategies. These learning mechanisms were separable behaviorally and neurally. Lateral orbitofrontal cortex supported contingent learning and reflected contingencies between outcomes and their causal choices. Amygdala responses around reward times related to statistical patterns of learning. Time-based heuristic mechanisms were related to activity in sensorimotor corticostriatal circuitry. Our data point to the existence of several learning mechanisms in the human brain, of which only one relies on applying known rules about the causal structure of the task.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Recompensa
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Mesencéfalo
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Comportamento de Escolha
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Córtex Pré-Frontal
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Estriado Ventral
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Tonsila do Cerebelo
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Aprendizagem
Limite:
Adult
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Female
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Humans
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Male
Idioma:
En
Revista:
Neuron
Assunto da revista:
NEUROLOGIA
Ano de publicação:
2016
Tipo de documento:
Article