Circuits that contain the Implementer : Morita, Kenji [morita at p.u-tokyo.ac.jp]

Re-display model names without descriptions
    Models   Description
1. Striatal dopamine ramping: an explanation by reinforcement learning with decay (Morita & Kato, 2014)
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).
2. Working memory circuit with branched dendrites (Morita 2008)
This is a rate-coding model of the neocortical spatial working memory circuit incorporating multiple dendritic branches of the individual pyramidal cell in order to examine how nonlinear dendritic integration, combined with the nonuniform distribution of the external input, affects the behavior of the whole circuit.

Re-display model names without descriptions