ReviewNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2022
Computational models of adaptive behavior and prefrontal cortex.
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 45 papers.
What it found
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Who cites it
45 citing papers in PubMed.
- Mechanisms Underlying Pain Avoidance in Complex Regional Pain Syndrome.European journal of pain (London, England) · 2026Observational
- Orbitofrontal noradrenaline supports adaptive learning-rate adjustment in probabilistic reversal learning.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- The Amygdala and Politics.Brain sciences · 2026Review
- Neural and computational correlates of strategic aborting and long-run policy optimization in the dorsolateral prefrontal cortex.Nature communications · 2026Article
- Reinforcement-learning signals support dynamic adaptive control during language switching.Communications biology · 2026Article
- Evolution of a central dopamine circuit underlies adaptation of a light-evoked sensorimotor response in the blind cavefish.Science advances · 2026Article
- Prefrontal modulation of striatal engagement: a hierarchical framework for goal-directed behavior.Communications biology · 2026Review
- Altered cortical alpha modulations and connectivity in complex regional pain syndrome.The journal of pain · 2026Article
- Reduced Pavlovian Value Updating Alters Decision-Making in Sign-Trackers.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Neurocomputational modeling of rule abstraction and memorization during probabilistic stimulus-reward learning.iScience · 2026Article
- Contribution of amygdala to dynamic model arbitration under uncertainty.Nature communications · 2025Article
- Factorized embedding of goal and uncertainty in the lateral prefrontal cortex guides stably flexible learning.Nature communications · 2025Article
- The neural basis for uncertainty processing in hierarchical decision making.Nature communications · 2025Article
- An Information-Theoretic Framework for Understanding Learning and Choice Under Uncertainty.Entropy (Basel, Switzerland) · 2025Article
- Endocannabinoids disinhibit the ventral tegmental nucleus of Gudden to dorsal premammillary nucleus pathway to enhance escape behavior following learned threat experience.Nature communications · 2025Article
- Behavior engineering using quantitative reinforcement learning models.Nature communications · 2025Article
- Adaptive Reinforcement Learning is causally supported by Anterior Cingulate Cortex and Striatum.bioRxiv : the preprint server for biology · 2025Article
- Acetylcholine modulates prefrontal outcome coding during threat learning under uncertainty.eLife · 2025Article
- Development of a neural efficiency metric to assess human-exoskeleton adaptations.Frontiers in robotics and AI · 2025Article
- Exploring the link between anticipatory outcome encoding in the brain and goal-directed behavior during outcome devaluation.Imaging neuroscience (Cambridge, Mass.) · 2025Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
The real world is uncertain, and while ever changing, it constantly presents itself in terms of new sets of behavioral options. To attain the flexibility required to tackle these challenges successfully, most mammalian brains are equipped with certain computational abilities that rely on the prefrontal cortex (PFC). By examining learning in terms of internal models associating stimuli, actions, and outcomes, we argue here that adaptive behavior relies on specific interactions between multiple systems including: (1) selective models learning stimulus-action associations through rewards; (2) predictive models learning stimulus- and/or action-outcome associations through statistical inferences anticipating behavioral outcomes; and (3) contextual models learning external cues associated with latent states of the environment. Critically, the PFC combines these internal models by forming task sets to drive behavior and, moreover, constantly evaluates the reliability of actor task sets in predicting external contingencies to switch between task sets or create new ones. We review different models of adaptive behavior to demonstrate how their components map onto this unifying framework and specific PFC regions. Finally, we discuss how our framework may help to better understand the neural computations and the cognitive architecture of PFC regions guiding adaptive behavior.
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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.