Cargando…
The Dopamine Prediction Error: Contributions to Associative Models of Reward Learning
Phasic activity of midbrain dopamine neurons is currently thought to encapsulate the prediction-error signal described in Sutton and Barto’s (1981) model-free reinforcement learning algorithm. This phasic signal is thought to contain information about the quantitative value of reward, which transfer...
Autores principales: | Nasser, Helen M., Calu, Donna J., Schoenbaum, Geoffrey, Sharpe, Melissa J. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5319959/ https://www.ncbi.nlm.nih.gov/pubmed/28275359 http://dx.doi.org/10.3389/fpsyg.2017.00244 |
Ejemplares similares
-
Dopamine transients do not act as model-free prediction errors during associative learning
por: Sharpe, Melissa J., et al.
Publicado: (2020) -
Orbitofrontal neurons signal reward predictions, not reward prediction errors
por: Stalnaker, Thomas A., et al.
Publicado: (2018) -
Brief optogenetic inhibition of dopamine neurons mimics endogenous negative reward prediction errors
por: Chang, Chun Yun, et al.
Publicado: (2015) -
Evaluation of the hypothesis that phasic dopamine constitutes a cached-value signal
por: Sharpe, Melissa J., et al.
Publicado: (2017) -
Manipulating the revision of reward value during the intertrial interval increases sign tracking and dopamine release
por: Lee, Brian, et al.
Publicado: (2018)