ArticleNature communications2021
A model for learning based on the joint estimation of stochasticity and volatility.
Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.
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Who cites it
69 citing papers in PubMed.
- Methamphetamine-induced adaptation of learning rate dynamics depend on baseline performance.eLife · 2025Trial
- Trait anxiety selectively amplifies reward learning under uncertainty, while N3 sleep attenuates it.iScience · 2026Article
- Evolution of behavioral flexibility and the forming and breaking of habits.Evolution letters · 2026Article
- Learning and Using Different Task Rule Updating Strategies Require Extensive Practice.Cognitive science · 2026Article
- Understanding anxiety through uncertainty quantification.British journal of psychology (London, England : 1953) · 2026Article
- Inferring the causes of noise from binary outcomes: A normative theory of learning under uncertainty.Psychological review · 2026Article
- 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
- Dissociating volatility and stochasticity reveals transdiagnostic computational signatures of psychopathology.bioRxiv : the preprint server for biology · 2026Article
- Anhedonia and Anxious Arousal Are Associated With Distinct Expectations About the Statistics of a Volatile Environment.Biological psychiatry global open science · 2026Article
- Early Life Stress Affects Human Decision Making by Increasing Expectations of Volatility.Developmental science · 2026Article
- Predicting continuous outcomes: Some new tests of associative approaches to contingency learning.PLoS computational biology · 2026Article
- Environmental uncertainty shapes human effort learning.PLoS biology · 2026Article
- Ultrasound neuromodulation reveals distinct roles of the dorsal anterior cingulate cortex and anterior insula in learning.PLoS biology · 2026Article
- Affective valence as a computational signal for learning value.Communications psychology · 2026Article
- Computational learning phenotypes are not related to individual differences in resting-state fMRI connectivity.Frontiers in neuroscience · 2026Article
- Neural Dynamics of Social Cognition: A Single-Trial Computational Analysis of Learning Under Uncertainty.Human brain mapping · 2026Article
- Between planning and map building: Prioritizing replay when future goals are uncertain.Neuron · 2025Review
- A rational information gathering account of infant habituation.Behavioral neuroscience · 2025Article
- Contribution of amygdala to dynamic model arbitration under uncertainty.Nature communications · 2025Article
- Approach-Avoidance Conflict Paradigms in Animal and Human Studies of Anxiety-A Narrative Review.Behavioral sciences (Basel, Switzerland) · 2025Review
9 more citing papers are in PubMed but not listed here.
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Previous research has stressed the importance of uncertainty for controlling the speed of learning, and how such control depends on the learner inferring the noise properties of the environment, especially volatility: the speed of change. However, learning rates are jointly determined by the comparison between volatility and a second factor, moment-to-moment stochasticity. Yet much previous research has focused on simplified cases corresponding to estimation of either factor alone. Here, we introduce a learning model, in which both factors are learned simultaneously from experience, and use the model to simulate human and animal data across many seemingly disparate neuroscientific and behavioral phenomena. By considering the full problem of joint estimation, we highlight a set of previously unappreciated issues, arising from the mutual interdependence of inference about volatility and stochasticity. This interdependence complicates and enriches the interpretation of previous results, such as pathological learning in individuals with anxiety and following amygdala damage.
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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.