Model-based predictions for dopamine.
Curr Opin Neurobiol
; 49: 1-7, 2018 04.
Article
in En
| MEDLINE
| ID: mdl-29096115
ABSTRACT
Phasic dopamine responses are thought to encode a prediction-error signal consistent with model-free reinforcement learning theories. However, a number of recent findings highlight the influence of model-based computations on dopamine responses, and suggest that dopamine prediction errors reflect more dimensions of an expected outcome than scalar reward value. Here, we review a selection of these recent results and discuss the implications and complications of model-based predictions for computational theories of dopamine and learning.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Computer Simulation
/
Dopamine
/
Learning
/
Models, Neurological
Type of study:
Prognostic_studies
/
Risk_factors_studies
Limits:
Animals
/
Humans
Language:
En
Journal:
Curr Opin Neurobiol
Journal subject:
BIOLOGIA
/
NEUROLOGIA
Year:
2018
Document type:
Article