ReviewNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2022
Advances in modeling learning and decision-making in neuroscience.
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 36 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
36 citing papers in PubMed.
- Stress, needs, and behaviour: understanding chronic stress in pet domestic dogs (Canis lupus familiaris) from the prism of needs.Biological reviews of the Cambridge Philosophical Society · 2026Review
- Mechanistic corticostriatal circuit model predicts learning-dependent fMRI dynamics and individual reward bias in humans.bioRxiv : the preprint server for biology · 2026Article
- Continual decision-making dynamics across biological organisms.Biological reviews of the Cambridge Philosophical Society · 2026Review
- Article
- A Neurocomputational Model of Observation-Based Decision Making with a Focus on Trust.Brain sciences · 2026Article
- Cognitive modeling of real-world behavior for understanding mental health.Trends in cognitive sciences · 2026Review
- A scoping review of emotion and non-cognitive measures of decision-making ability in older adults by the ARMCADA study.Frontiers in public health · 2026Article
- Excessive Switching in OCD and Paranoia Arises From Different Deficits in Belief-Updating.Computational psychiatry (Cambridge, Mass.) · 2026Article
- Stable individualized brain computing model informed by spatiotemporal co-activity patterns.PLoS computational biology · 2025Article
- Neurocomputational mechanisms of social presence effects on instrumental learning.Communications biology · 2025Article
- How working memory and reinforcement learning interact when avoiding punishment and pursuing reward concurrently.Journal of experimental psychology. General · 2025Article
- An Information-Theoretic Framework for Understanding Learning and Choice Under Uncertainty.Entropy (Basel, Switzerland) · 2025Article
- FatigueNet: A hybrid graph neural network and transformer framework for real-time multimodal fatigue detection.Scientific reports · 2025Article
- An Exploration of Individual and Collective Reversal Learning in Rats.Perspectives on behavior science · 2025Review
- Distributional dual-process model predicts strategic shifts in decision-making under uncertainty.Communications psychology · 2025Article
- Mutual inclusivity improves decision-making by smoothing out choice's competitive edge.Nature human behaviour · 2025Article
- Lateral prefrontal theta oscillations causally drive a computational mechanism underlying conflict expectation and adaptation.Nature communications · 2024Article
- Neuromarkers in addiction: definitions, development strategies, and recent advances.Journal of neural transmission (Vienna, Austria : 1996) · 2024Review
- Mutual inclusivity improves decision-making by smoothing out choice's competitive edge.bioRxiv : the preprint server for biology · 2024Article
- Goal-directed learning in adolescence: neurocognitive development and contextual influences.Nature reviews. Neuroscience · 2024Review
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.
Funding
Abstract
An organism's survival depends on its ability to learn about its environment and to make adaptive decisions in the service of achieving the best possible outcomes in that environment. To study the neural circuits that support these functions, researchers have increasingly relied on models that formalize the computations required to carry them out. Here, we review the recent history of computational modeling of learning and decision-making, and how these models have been used to advance understanding of prefrontal cortex function. We discuss how such models have advanced from their origins in basic algorithms of updating and action selection to increasingly account for complexities in the cognitive processes required for learning and decision-making, and the representations over which they operate. We further discuss how a deeper understanding of the real-world complexities in these computations has shed light on the fundamental constraints on optimal behavior, and on the complex interactions between corticostriatal pathways to determine such behavior. The continuing and rapid development of these models holds great promise for understanding the mechanisms by which animals adapt to their environments, and what leads to maladaptive forms of learning and decision-making within clinical populations.
Indexed as
Identifiers
What Socratic 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 Socratic graph.