ReviewNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2022
Reinforcement-learning in fronto-striatal circuits.
Review in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
68 citing papers in PubMed, 133 citations in OpenAlex.
- Non-invasive stimulation of the human striatum disrupts reinforcement learning of motor skills.Nature human behaviour · 2024Trial
- Trial
- Effort and substance use: differentiating tobacco use through reinforcement learning of effort based decision making.Journal of computational neuroscience · 2026Article
- Long-term Learning Induces Plastic Changes in Frontostriatal Circuits.bioRxiv : the preprint server for biology · 2026Article
- Neural and computational correlates of strategic aborting and long-run policy optimization in the dorsolateral prefrontal cortex.Nature communications · 2026Article
- Orbitofrontal-sensory cortical interactions in learning and adaptive decision-making.Trends in cognitive sciences · 2026Review
- Brain maintenance biomarkers from structural and functional interactions in aging and neurodegeneration.Nature communications · 2026Article
- Contributions of the basolateral amygdala and nucleus accumbens to sustaining not just initiating cognitive effort.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Dorsal prefrontal cortex drives perseverative behavior in mice.Nature communications · 2026Article
- Prefrontal Mechanisms of Rule Learning.bioRxiv : the preprint server for biology · 2026Article
- An emerging role for synaptic ZnPharmacology & therapeutics · 2026Review
- Association of Menstrual Cycle with Fronto-Striatal Connectivity and Delay Discounting.Behavioral sciences (Basel, Switzerland) · 2025Article
- Latent Profiles of Impulsivity and Emotion Regulation in Children With Externalizing Disorders Are Associated With Alterations in Striatocortical Connectivity.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2025Article
- Lower reward sensitivity in frontostriatal stroke: Influence of depression and resting-state functional connectivity.Cognitive, affective & behavioral neuroscience · 2025Article
- Contribution of amygdala to dynamic model arbitration under uncertainty.Nature communications · 2025Article
- Neural correlates of trial outcome monitoring during long-term learning in primate posterior parietal cortex.Nature communications · 2025Article
- Factorized embedding of goal and uncertainty in the lateral prefrontal cortex guides stably flexible learning.Nature communications · 2025Article
- Brain age gap as a predictive biomarker that links aging, lifestyle, and neuropsychiatric health.Communications medicine · 2025Article
- Ventral striatal astrocytes contribute to reinforcement learning.bioRxiv : the preprint server for biology · 2025Article
- Thalamic regulation of reinforcement learning strategies across prefrontal-striatal networks.Nature communications · 2025Article
8 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
Abstract
We review the current state of knowledge on the computational and neural mechanisms of reinforcement-learning with a particular focus on fronto-striatal circuits. We divide the literature in this area into five broad research themes: the target of the learning-whether it be learning about the value of stimuli or about the value of actions; the nature and complexity of the algorithm used to drive the learning and inference process; how learned values get converted into choices and associated actions; the nature of state representations, and of other cognitive machinery that support the implementation of various reinforcement-learning operations. An emerging fifth area focuses on how the brain allocates or arbitrates control over different reinforcement-learning sub-systems or "experts". We will outline what is known about the role of the prefrontal cortex and striatum in implementing each of these functions. We then conclude by arguing that it will be necessary to build bridges from algorithmic level descriptions of computational reinforcement-learning to implementational level models to better understand how reinforcement-learning emerges from multiple distributed neural networks in the brain.
Indexed as
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What OpenQuestion holds
Registered trials
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.