ReviewPsychonomic bulletin & review2021
Modeling the influence of working memory, reinforcement, and action uncertainty on reaction time and choice during instrumental learning.
Review in Psychonomic bulletin & review, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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Who cites it
34 citing papers in PubMed.
- Modeling decision dynamics disentangles working memory, cognitive control and reinforcement learning and reveals clinical differences.PLoS computational biology · 2026Article
- HSSM: A Widely Applicable Toolbox for Hierarchical Bayesian Neurocognitive Modeling.bioRxiv : the preprint server for biology · 2026Article
- Article
- Psychosis-proneness is associated with reduced cognitive error-monitoring during instrumental learning.Schizophrenia research. Cognition · 2026Article
- A reinforcement learning and sequential sampling model constrained by gaze data.PLoS computational biology · 2026Article
- Human goal-directed behavior is resistant to interventions on the action-outcome contingency.BMC psychology · 2026Article
- A habit and working memory model as an alternative account of human reward-based learning.Nature human behaviour · 2026Article
- Ambiguity preferences in intertemporal and risky choice: A large-scale study using drift-diffusion modelling.Psychonomic bulletin & review · 2025Article
- How working memory and reinforcement learning interact when avoiding punishment and pursuing reward concurrently.Journal of experimental psychology. General · 2025Article
- Joint models reveal human subcortical underpinnings of choice and learning behavior.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Time and memory costs jointly determine a speed-accuracy trade-off and set-size effects.Journal of experimental psychology. General · 2025Article
- Validation and Comparison of Non-stationary Cognitive Models: A Diffusion Model Application.Computational brain & behavior · 2025Article
- Bayesian Workflow for Generative Modeling in Computational Psychiatry.Computational psychiatry (Cambridge, Mass.) · 2025Article
- Noradrenergic alpha-2a receptor stimulation enhances prediction error signaling and updating of attention sets in anterior cingulate cortex and striatum.Nature communications · 2024Article
- Human decision making balances reward maximization and policy compression.PLoS computational biology · 2024Article
- Exploring the dynamic interplay between learning and working memory within various cognitive contexts.Frontiers in behavioral neuroscience · 2024Article
- Joint Modelling of Latent Cognitive Mechanisms Shared Across Decision-Making Domains.Computational brain & behavior · 2024Article
- The neurocognitive role of working memory load when Pavlovian motivational control affects instrumental learning.PLoS computational biology · 2023Article
- Noradrenergic alpha-2a Receptor Stimulation Enhances Prediction Error Signaling in Anterior Cingulate Cortex and Striatum.bioRxiv : the preprint server for biology · 2023Article
- Latent cause inference during extinction learning in trauma-exposed individuals with and without PTSD.Psychological medicine · 2022Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
What determines the speed of our decisions? Various models of decision-making have focused on perceptual evidence, past experience, and task complexity as important factors determining the degree of deliberation needed for a decision. Here, we build on a sequential sampling decision-making framework to develop a new model that captures a range of reaction time (RT) effects by accounting for both working memory and instrumental learning processes. The model captures choices and RTs at various stages of learning, and in learning environments with varying complexity. Moreover, the model generalizes from tasks with deterministic reward contingencies to probabilistic ones. The model succeeds in part by incorporating prior uncertainty over actions when modeling RT. This straightforward process model provides a parsimonious account of decision dynamics during instrumental learning and makes unique predictions about internal representations of action values.
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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.