Cargando…
Time representation in reinforcement learning models of the basal ganglia
Reinforcement learning (RL) models have been influential in understanding many aspects of basal ganglia function, from reward prediction to action selection. Time plays an important role in these models, but there is still no theoretical consensus about what kind of time representation is used by th...
Autores principales: | Gershman, Samuel J., Moustafa, Ahmed A., Ludvig, Elliot A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3885823/ https://www.ncbi.nlm.nih.gov/pubmed/24409138 http://dx.doi.org/10.3389/fncom.2013.00194 |
Ejemplares similares
-
An extended reinforcement learning model of basal ganglia to understand the contributions of serotonin and dopamine in risk-based decision making, reward prediction, and punishment learning
por: Balasubramani, Pragathi P., et al.
Publicado: (2014) -
Basal ganglia: physiological, behavioral, and computational studies
por: Moustafa, Ahmed A., et al.
Publicado: (2014) -
A spiking Basal Ganglia model of synchrony, exploration and decision making
por: Mandali, Alekhya, et al.
Publicado: (2015) -
Oculomotor learning revisited: a model of reinforcement learning in the basal ganglia incorporating an efference copy of motor actions
por: Fee, Michale S.
Publicado: (2012) -
Exploring the cognitive and motor functions of the basal ganglia: an integrative review of computational cognitive neuroscience models
por: Helie, Sebastien, et al.
Publicado: (2013)