ArticleNPJ science of learning2023
Multiple timescales of learning indicated by changes in evidence-accumulation processes during perceptual decision-making.
Article in NPJ science of learning, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Action video game playing impacts occupational screening for high-stakes professionals.Communications psychology · 2026Article
- Quantifying uncertainty in drift diffusion models of decision making under temporal dependence and parameter variability.bioRxiv : the preprint server for biology · 2026Article
- A novel bias-free approach for robust perceptual threshold estimation.Behavior research methods · 2026Article
- An illustrative guide to expressing cognitive theories using evidence accumulation modelling.Behavior research methods · 2026Article
- Learning reweights the decision dynamics of cortico-basal ganglia-thalamic pathways from deliberation to commitment.bioRxiv : the preprint server for biology · 2026Article
- Double training promotes retinotopic transfer of category learning.NPJ science of learning · 2026Article
- Mindfulness training enhances face working memory: evidence from the drift-diffusion model.NPJ science of learning · 2025Article
- High-stakes psychomotor ability assessment: a military selection case study of practice effects in airplane tracking tasks.Cognitive research: principles and implications · 2025Article
- Validation and Comparison of Non-stationary Cognitive Models: A Diffusion Model Application.Computational brain & behavior · 2025Article
- How Implicit Sequence Learning and Explicit Sequence Knowledge Are Expressed in a Serial Response Time Task.Journal of cognition · 2025Article
- Article
- Dynamics of task preparation processes revealed by effect course analysis on response times and error rates.Scientific reports · 2024Article
- Robust within-session modulations of IAT scores may reveal novel dynamics of rapid change.Scientific reports · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Evidence accumulation models have enabled strong advances in our understanding of decision-making, yet their application to examining learning has not been common. Using data from participants completing a dynamic random dot-motion direction discrimination task across four days, we characterized alterations in two components of perceptual decision-making (Drift Diffusion Model drift rate and response boundary). Continuous-time learning models were applied to characterize trajectories of performance change, with different models allowing for varying dynamics. The best-fitting model included drift rate changing as a continuous, exponential function of cumulative trial number. In contrast, response boundary changed within each daily session, but in an independent manner across daily sessions. Our results highlight two different processes underlying the pattern of behavior observed across the entire learning trajectory, one involving a continuous tuning of perceptual sensitivity, and another more variable process describing participants' threshold of when enough evidence is present to act.
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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.