ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2013
Dopaminergic control of motivation and reinforcement learning: a closed-circuit account for reward-oriented behavior.
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed.
- Article
- Striatal Gradient in Value-Decay Explains Regional Differences in Dopamine Patterns and Reinforcement Learning Computations.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Human Substantia Nigra Neurons Encode Reward Expectations.bioRxiv : the preprint server for biology · 2024Article
- Phasic Dopamine Changes and Hebbian Mechanisms during Probabilistic Reversal Learning in Striatal Circuits: A Computational Study.International journal of molecular sciences · 2022Article
- The effect of mother-infant group music classes on postnatal depression-A systematic review protocol.PloS one · 2022Article
- Development of an MRI-Compatible Nasal Drug Delivery Method for Probing Nicotine Addiction Dynamics.Pharmaceutics · 2021Article
- Modulation of Dopamine for Adaptive Learning: A Neurocomputational Model.Computational brain & behavior · 2021Article
- The Abuse Potential of Novel Synthetic Phencyclidine Derivative 1-(1-(4-Fluorophenyl)Cyclohexyl)Piperidine (4'-F-PCP) in Rodents.International journal of molecular sciences · 2020Article
- Self-Regulation of the Fusiform Face Area in Autism Spectrum: A Feasibility Study With Real-Time fMRI Neurofeedback.Frontiers in human neuroscience · 2019Article
- Effect of traumatic brain injury on nicotine-induced modulation of dopamine release in the striatum and nucleus accumbens shell.Oncotarget · 2018Article
- Minimal Circuit Model of Reward Prediction Error Computations and Effects of Nicotinic Modulations.Frontiers in neural circuits · 2018Article
- A Dual Role Hypothesis of the Cortico-Basal-Ganglia Pathways: Opponency and Temporal Difference Through Dopamine and Adenosine.Frontiers in neural circuits · 2018Article
- Neural Circuitry of Reward Prediction Error.Annual review of neuroscience · 2017Review
- Manganese-Disrupted Interaction of Dopamine D1 and NMDAR in the Striatum to Injury Learning and Memory Ability of Mice.Molecular neurobiology · 2016Article
- Forgetting in Reinforcement Learning Links Sustained Dopamine Signals to Motivation.PLoS computational biology · 2016Article
- Basal ganglia correlates of fatigue in young adults.Scientific reports · 2016Article
- Dopamine Prediction Errors in Reward Learning and Addiction: From Theory to Neural Circuitry.Neuron · 2015Review
- Activation of physiological stress responses by a natural reward: Novel vs. repeated sucrose intake.Physiology & behavior · 2015Article
- Computing reward-prediction error: an integrated account of cortical timing and basal-ganglia pathways for appetitive and aversive learning.The European journal of neuroscience · 2015Article
- PPL2ab neurons restore sexual responses in aged Drosophila males through dopamine.Nature communications · 2015Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Humans and animals take actions quickly when they expect that the actions lead to reward, reflecting their motivation. Injection of dopamine receptor antagonists into the striatum has been shown to slow such reward-seeking behavior, suggesting that dopamine is involved in the control of motivational processes. Meanwhile, neurophysiological studies have revealed that phasic response of dopamine neurons appears to represent reward prediction error, indicating that dopamine plays central roles in reinforcement learning. However, previous attempts to elucidate the mechanisms of these dopaminergic controls have not fully explained how the motivational and learning aspects are related and whether they can be understood by the way the activity of dopamine neurons itself is controlled by their upstream circuitries. To address this issue, we constructed a closed-circuit model of the corticobasal ganglia system based on recent findings regarding intracortical and corticostriatal circuit architectures. Simulations show that the model could reproduce the observed distinct motivational effects of D1- and D2-type dopamine receptor antagonists. Simultaneously, our model successfully explains the dopaminergic representation of reward prediction error as observed in behaving animals during learning tasks and could also explain distinct choice biases induced by optogenetic stimulation of the D1 and D2 receptor-expressing striatal neurons. These results indicate that the suggested roles of dopamine in motivational control and reinforcement learning can be understood in a unified manner through a notion that the indirect pathway of the basal ganglia represents the value of states/actions at a previous time point, an empirically driven key assumption of our model.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.