ReviewCurrent opinion in neurobiology2018
Model-based predictions for dopamine.
Review in Current opinion in neurobiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
88 citing papers in PubMed.
- Trial
- Chronic ethanol self-administration alters dopamine in the caudate nucleus and putamen of rhesus macaques in a sex-dependent manner.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Article
- Methamphetamine potentiates the use of outcome-specific associations via a hypothalamic-dopamine circuit.Neuron · 2026Article
- Midbrain endocannabinoids actuate dopamine-based action selection.Cell reports · 2026Article
- Hybrid neural-cognitive models reveal how memory shapes human reward learning.Nature human behaviour · 2026Article
- Mesocorticostriatal Reinforcement Learning of State Representation and Value with Implications for the Mechanisms of Schizophrenia.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Effect of gonadectomy and hormone replacement on habenula-induced dopamine inhibition in female and male rats.Journal of neuroendocrinology · 2026Article
- Dopaminergic responses to identity prediction errors depend differently on the orbitofrontal cortex and hippocampus.Behavioral neuroscience · 2026Article
- A brief history of dopamine prediction errors.Frontiers in computational neuroscience · 2026Review
- Deliberating on the role of dopamine.Trends in cognitive sciences · 2025Article
- Review
- Model-based and model-free valuation signals in the human brain vary markedly in their relationship to individual differences in behavioral control.bioRxiv : the preprint server for biology · 2025Article
- Article
- 20 Years of Aberrant Salience in Psychosis: What Have We Learned?The American journal of psychiatry · 2025Review
- 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
- Social inequity disrupts reward-based learning.Communications psychology · 2025Article
- Striatal dopamine signals errors in prediction across different informational domains.Science advances · 2025Article
- Modulation of Dopamine Neurons Alters Behavior and Event Encoding in the Nucleus Accumbens during Pavlovian Conditioning.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Prospective contingency explains behavior and dopamine signals during associative learning.Nature neuroscience · 2025Article
- Developing algorithmic psychiatry via multi-level spanning computational models.Cell reports. Medicine · 2025Review
28 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
4 authors.
Funding
Abstract
Phasic dopamine responses are thought to encode a prediction-error signal consistent with model-free reinforcement learning theories. However, a number of recent findings highlight the influence of model-based computations on dopamine responses, and suggest that dopamine prediction errors reflect more dimensions of an expected outcome than scalar reward value. Here, we review a selection of these recent results and discuss the implications and complications of model-based predictions for computational theories of dopamine and learning.
Indexed as
Identifiers
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.