2021
DOI: 10.1101/2021.05.31.446464
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Mesolimbic dopamine adapts the rate of learning from action

Abstract: Recent success in training artificial agents and robots derives from a combination of direct learning of behavioral policies and indirect learning via value functions. Policy learning and value learning employ distinct algorithms that depend upon evaluation of errors in performance and reward prediction errors, respectively. In animals, behavioral learning and the role of mesolimbic dopamine signaling have been extensively evaluated with respect to reward prediction errors; however, to date there has been litt… Show more

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Cited by 1 publication
(2 citation statements)
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References 114 publications
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“…Figure 1 was generated from data (Coddington et al, 2023) available at (Dudman, 2023). All signals are measurements of calcium dynamics in mesolimbic dopamine cells (DAT-Cre::ai32 transgenic mice were injected with a Cre-dependent jRCaMP1b virus across the ventral midbrain) recorded from fibers in the nucleus accumbens.…”
Section: Figure 1 Methods and Analysesmentioning
confidence: 99%
See 1 more Smart Citation
“…Figure 1 was generated from data (Coddington et al, 2023) available at (Dudman, 2023). All signals are measurements of calcium dynamics in mesolimbic dopamine cells (DAT-Cre::ai32 transgenic mice were injected with a Cre-dependent jRCaMP1b virus across the ventral midbrain) recorded from fibers in the nucleus accumbens.…”
Section: Figure 1 Methods and Analysesmentioning
confidence: 99%
“…We include analyses here conducted on a second recent article Coddington et al (2023); Dudman (2023) proposing a new reinforcement learning model for the role of mesolimbic dopamine in learning.…”
Section: Appendix: Additional Reanalysesmentioning
confidence: 99%