Literature DB >> 12383782

Reward, motivation, and reinforcement learning.

Peter Dayan1, Bernard W Balleine.   

Abstract

There is substantial evidence that dopamine is involved in reward learning and appetitive conditioning. However, the major reinforcement learning-based theoretical models of classical conditioning (crudely, prediction learning) are actually based on rules designed to explain instrumental conditioning (action learning). Extensive anatomical, pharmacological, and psychological data, particularly concerning the impact of motivational manipulations, show that these models are unreasonable. We review the data and consider the involvement of a rich collection of different neural systems in various aspects of these forms of conditioning. Dopamine plays a pivotal, but complicated, role.

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Year:  2002        PMID: 12383782     DOI: 10.1016/s0896-6273(02)00963-7

Source DB:  PubMed          Journal:  Neuron        ISSN: 0896-6273            Impact factor:   17.173


  230 in total

1.  Representations of appetitive and aversive information in the primate orbitofrontal cortex.

Authors:  Sara E Morrison; C Daniel Salzman
Journal:  Ann N Y Acad Sci       Date:  2011-12       Impact factor: 5.691

Review 2.  From reinforcement learning models to psychiatric and neurological disorders.

Authors:  Tiago V Maia; Michael J Frank
Journal:  Nat Neurosci       Date:  2011-02       Impact factor: 24.884

Review 3.  Goal representations and motivational drive in schizophrenia: the role of prefrontal-striatal interactions.

Authors:  Deanna M Barch; Erin C Dowd
Journal:  Schizophr Bull       Date:  2010-06-21       Impact factor: 9.306

4.  Oculomotor capture by stimuli that signal the availability of reward.

Authors:  Michel Failing; Tom Nissens; Daniel Pearson; Mike Le Pelley; Jan Theeuwes
Journal:  J Neurophysiol       Date:  2015-08-19       Impact factor: 2.714

5.  Interactions of Motivation and Cognitive Control.

Authors:  Debbie M Yee; Todd S Braver
Journal:  Curr Opin Behav Sci       Date:  2017-11-24

6.  Tectonigral projections in the primate: a pathway for pre-attentive sensory input to midbrain dopaminergic neurons.

Authors:  Paul J May; John G McHaffie; Terrence R Stanford; Huai Jiang; M Gabriela Costello; Veronique Coizet; Lauren M Hayes; Suzanne N Haber; Peter Redgrave
Journal:  Eur J Neurosci       Date:  2009-01-17       Impact factor: 3.386

7.  Probabilistic reward- and punishment-based learning in opioid addiction: Experimental and computational data.

Authors:  Catherine E Myers; Jony Sheynin; Tarryn Balsdon; Andre Luzardo; Kevin D Beck; Lee Hogarth; Paul Haber; Ahmed A Moustafa
Journal:  Behav Brain Res       Date:  2015-09-14       Impact factor: 3.332

8.  Individual differences in dopamine efflux in nucleus accumbens shell and core during instrumental learning.

Authors:  Jingjun Cheng; Matthijs G P Feenstra
Journal:  Learn Mem       Date:  2006 Mar-Apr       Impact factor: 2.460

Review 9.  The debate over dopamine's role in reward: the case for incentive salience.

Authors:  Kent C Berridge
Journal:  Psychopharmacology (Berl)       Date:  2006-10-27       Impact factor: 4.530

Review 10.  Neurocomputational models of basal ganglia function in learning, memory and choice.

Authors:  Michael X Cohen; Michael J Frank
Journal:  Behav Brain Res       Date:  2008-10-04       Impact factor: 3.332

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