Literature DB >> 32633715

Dopamine role in learning and action inference.

Rafal Bogacz1.   

Abstract

This paper describes a framework for modelling dopamine function in the mammalian brain. It proposes that both learning and action planning involve processes minimizing prediction errors encoded by dopaminergic neurons. In this framework, dopaminergic neurons projecting to different parts of the striatum encode errors in predictions made by the corresponding systems within the basal ganglia. The dopaminergic neurons encode differences between rewards and expectations in the goal-directed system, and differences between the chosen and habitual actions in the habit system. These prediction errors trigger learning about rewards and habit formation, respectively. Additionally, dopaminergic neurons in the goal-directed system play a key role in action planning: They compute the difference between a desired reward and the reward expected from the current motor plan, and they facilitate action planning until this difference diminishes. Presented models account for dopaminergic responses during movements, effects of dopamine depletion on behaviour, and make several experimental predictions.
© 2020, Bogacz.

Entities:  

Keywords:  active inference; computational biology; dopamine; human; mouse; neuroscience; rat; reinforcement learning; rhesus macaque; systems biology

Mesh:

Substances:

Year:  2020        PMID: 32633715      PMCID: PMC7392608          DOI: 10.7554/eLife.53262

Source DB:  PubMed          Journal:  Elife        ISSN: 2050-084X            Impact factor:   8.713


  70 in total

1.  Habitual versus goal-directed action control in Parkinson disease.

Authors:  Sanne de Wit; Roger A Barker; Anthony D Dickinson; Roshan Cools
Journal:  J Cogn Neurosci       Date:  2010-04-30       Impact factor: 3.225

2.  The role of the dorsomedial striatum in instrumental conditioning.

Authors:  Henry H Yin; Sean B Ostlund; Barbara J Knowlton; Bernard W Balleine
Journal:  Eur J Neurosci       Date:  2005-07       Impact factor: 3.386

3.  The basal ganglia and cortex implement optimal decision making between alternative actions.

Authors:  Rafal Bogacz; Kevin Gurney
Journal:  Neural Comput       Date:  2007-02       Impact factor: 2.026

Review 4.  From ventral-medial to dorsal-lateral striatum: neural correlates of reward-guided decision-making.

Authors:  Amanda C Burton; Kae Nakamura; Matthew R Roesch
Journal:  Neurobiol Learn Mem       Date:  2014-05-21       Impact factor: 2.877

5.  Time-dependent competition between goal-directed and habitual response preparation.

Authors:  Robert M Hardwick; Alexander D Forrence; John W Krakauer; Adrian M Haith
Journal:  Nat Hum Behav       Date:  2019-09-30

6.  Localization of multiple dopamine receptor subtype mRNAs in human and monkey motor cortex and striatum.

Authors:  G W Huntley; J H Morrison; A Prikhozhan; S C Sealfon
Journal:  Brain Res Mol Brain Res       Date:  1992-10

7.  Dopamine neurons share common response function for reward prediction error.

Authors:  Neir Eshel; Ju Tian; Michael Bukwich; Naoshige Uchida
Journal:  Nat Neurosci       Date:  2016-02-08       Impact factor: 24.884

8.  Allostatic Self-efficacy: A Metacognitive Theory of Dyshomeostasis-Induced Fatigue and Depression.

Authors:  Klaas E Stephan; Zina M Manjaly; Christoph D Mathys; Lilian A E Weber; Saee Paliwal; Tim Gard; Marc Tittgemeyer; Stephen M Fleming; Helene Haker; Anil K Seth; Frederike H Petzschner
Journal:  Front Hum Neurosci       Date:  2016-11-15       Impact factor: 3.169

9.  A tutorial on the free-energy framework for modelling perception and learning.

Authors:  Rafal Bogacz
Journal:  J Math Psychol       Date:  2017-02       Impact factor: 2.223

10.  Model averaging, optimal inference, and habit formation.

Authors:  Thomas H B FitzGerald; Raymond J Dolan; Karl J Friston
Journal:  Front Hum Neurosci       Date:  2014-06-26       Impact factor: 3.169

View more
  5 in total

1.  Uncertainty-guided learning with scaled prediction errors in the basal ganglia.

Authors:  Moritz Möller; Sanjay Manohar; Rafal Bogacz
Journal:  PLoS Comput Biol       Date:  2022-05-27       Impact factor: 4.779

2.  Bayesian mechanics of perceptual inference and motor control in the brain.

Authors:  Chang Sub Kim
Journal:  Biol Cybern       Date:  2021-01-20       Impact factor: 2.086

3.  Model-based learning retrospectively updates model-free values.

Authors:  Max Doody; Maaike M H Van Swieten; Sanjay G Manohar
Journal:  Sci Rep       Date:  2022-02-11       Impact factor: 4.996

4.  The dopamine circuit as a reward-taxis navigation system.

Authors:  Omer Karin; Uri Alon
Journal:  PLoS Comput Biol       Date:  2022-07-25       Impact factor: 4.779

5.  An association between prediction errors and risk-seeking: Theory and behavioral evidence.

Authors:  Moritz Moeller; Jan Grohn; Sanjay Manohar; Rafal Bogacz
Journal:  PLoS Comput Biol       Date:  2021-07-16       Impact factor: 4.475

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.