Find models by
Find models for
Find models of
Striatal dopamine ramping: an explanation by reinforcement learning with decay (Morita & Kato, 2014)
Download zip file
Help downloading and running models
Incorporation of decay of learned values into temporal-difference (TD) learning (Sutton & Barto, 1998, Reinforcement Learning (MIT Press)) causes ramping of TD reward prediction error (RPE), which could explain, given the hypothesis that dopamine represents TD RPE (Montague et al., 1996, J Neurosci 16:1936; Schultz et al., 1997, Science 275:1593), the reported ramping of the dopamine concentration in the striatum in a reward-associated spatial navigation task (Howe et al., 2013, Nature 500:575).
Morita K, Kato A (2014) Striatal dopamine ramping may indicate flexible reinforcement learning with forgetting in the cortico-basal ganglia circuits
Front. Neural Circuits
(Click on a link to find other models with that property)
Morita, Kenji [morita at p.u-tokyo.ac.jp];
for information about:
Download the displayed file
ModelDB scripts have detected that binary file '/MoritaKato2014/rands_for_choice_Fig4D.mat' is not displayable. You may download the file to examine if desired.
<- Select file from this column.
Questions, comments, problems? Email the
© This site is Copyright 2018 Shepherd Lab, Yale University