Cited by 879Neurotransmitter Receptor Influence on BehaviorNeuroscience and Neuropharmacology ResearchMemory and Neural Mechanisms

A cellular mechanism of reward-related learning

Reynolds, John N. J., Hyland, Brian I., Wickens, Jeffery R.·2001·Nature

Abstract

Positive reinforcement helps to control the acquisition of learned behaviours. Here we report a cellular mechanism in the brain that may underlie the behavioural effects of positive reinforcement. We used intracranial self-stimulation (ICSS) as a model of reinforcement learning, in which each rat learns to press a lever that applies reinforcing electrical stimulation to its own substantia nigra. The outputs from neurons of the substantia nigra terminate on neurons in the striatum in close proximity to inputs from the cerebral cortex on the same striatal neurons. We measured the effect of substantia nigra stimulation on these inputs from the cortex to striatal neurons and also on how quickly the rats learned to press the lever. We found that stimulation of the substantia nigra (with the optimal parameters for lever-pressing behaviour) induced potentiation of synapses between the cortex and the striatum, which required activation of dopamine receptors. The degree of potentiation within ten minutes of the ICSS trains was correlated with the time taken by the rats to learn ICSS behaviour. We propose that stimulation of the substantia nigra when the lever is pressed induces a similar potentiation of cortical inputs to the striatum, positively reinforcing the learning of the behaviour by the rats.

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Crossref · 10.1038/35092560

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  • Gaming increases the release of striatal dopamine, promoting long-term potentiation of neural connections within the striatum, which is suggested to improve motivation and one's ability to learn.

    “Gaming increases the release of striatal dopamine [47], [48], promoting long-term potentiation of neural connections within the striatum [49], which is suggested to improve motivation and one’s ability to learn [50] (e.g., during EF training).”
  • Phasic firing of dopamine neurons has been suggested as reporting the temporal difference prediction error for reward that underpins model-free evaluation and control via its influence over activity and plasticity.

    “First, as noted, the phasic firing of dopamine neurons has been suggested as reporting the temporal difference prediction error for reward (Montague et al., 1996; Schultz et al., 1997) that underpins model-free evaluation and control via its influence over activity and plasticity (Reynolds et al., 2001; Frank, 2005).”

    From Goals and Habits in the Brain (2013) · cites this paper as Reynolds et al., 2001

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Authors
Reynolds, J. N. J., Hyland, B. I., & Wickens, J. R.
Affiliations
University of Otago (NZ)
Corresponding author
Wickens, Jeffery R.
Venue
Nature
Published
2001-09
Volume
413
Issue
6851
Pages
67-70
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W2055523610
Cited by
879
References
33
Citations by year
2026: 20 · 2025: 36 · 2024: 54 · 2023: 42 · 2022: 36 · 2021: 28 · 2020: 32 · 2019: 35 · 2018: 28 · 2017: 26 · 2016: 33 · 2015: 44 · 2014: 42 · 2013: 35 · 2012: 32
FWCI
8.10
Type
journal article
Language
en
Open access
closed
Locations
  • Nature (publishedVersion)
  • PubMed (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Funders
  • Institut National de la Santé et de la Recherche Médicale
  • Saint Petersburg State University
Topics
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
Keywords
reward learning, positive reinforcement, intracranial self-stimulation, substantia nigra, striatum, synaptic potentiation, dopamine receptors, learning acquisition
MeSH terms
Animals, Brain, Cerebral Cortex, Corpus Striatum, Dopamine, Learning, Male, Models, Neurological, Neural Pathways, Neurons, Reinforcement, Psychology, Reward, Self Stimulation, Substantia Nigra, Synapses, Rats, Wistar, Rats

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