ArticleeLife2020
A flexible framework for simulating and fitting generalized drift-diffusion models.
Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.
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Who cites it
64 citing papers in PubMed.
- How people decide to consume (more) alcohol when feeling stressed.Addiction (Abingdon, England) · 2026Trial
- Repetitive negative thinking is associated with conflict-related neural activity that modulates evidence accumulation.Journal of mood and anxiety disorders · 2026Article
- Moral and perceptual conflict processing are implemented by distinct brain activation and functional connectivity patterns.PLoS biology · 2026Article
- cpm: A python library for theory-driven modelling in computational psychiatry.PLoS computational biology · 2026Article
- Positive Interpretation of Emotional Ambiguity Across Development: LC-dlPFC Circuitry.bioRxiv : the preprint server for biology · 2026Article
- HSSM: A Widely Applicable Toolbox for Hierarchical Bayesian Neurocognitive Modeling.bioRxiv : the preprint server for biology · 2026Article
- Efficient Inference in First Passage Time Models.Statistics and computing · 2026Article
- Learning Decouples Accuracy and Reaction Time for Rapid Decisions in a Transitive Inference Task.Journal of cognitive neuroscience · 2026Article
- Quantifying uncertainty in drift diffusion models of decision making under temporal dependence and parameter variability.bioRxiv : the preprint server for biology · 2026Article
- Neural correlates of perceptual decision-making in the primary somatosensory cortex.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Ten years Diffusion Model for Conflict (DMC) tasks: Theoretical foundations, applications, practical recommendations, and open challenges.Psychonomic bulletin & review · 2026Review
- Different sources of the numerical comparison size effect.Memory & cognition · 2026Article
- Developmental and genetic modulation of evidence integration dynamics in zebrafish sensorimotor decision-making.bioRxiv : the preprint server for biology · 2026Article
- Deciding for others alters metacognition leading to responsibility aversion.Science advances · 2026Article
- Individual differences in learning and decision-making: the role of COMT Val158Met polymorphism in transitive inference.Experimental brain research · 2026Article
- The Difficulty in Numerical Computation Impacts Motor Decisions in a Stop-Signal Task.The European journal of neuroscience · 2026Article
- Isolating perceptual conflict: a theoretical and methodological analysis of the Task-Irrelevant Paradigm.Frontiers in psychology · 2026Review
- Learning expectations shape cognitive control allocation.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Low affinity noradrenergic signaling promotes passive coping during reinforcement behavior.bioRxiv : the preprint server for biology · 2025Article
- Parameter estimation of hyper-spherical diffusion models with a time-dependent threshold: An integral equation method.Behavior research methods · 2025Article
4 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
The drift-diffusion model (DDM) is an important decision-making model in cognitive neuroscience. However, innovations in model form have been limited by methodological challenges. Here, we introduce the generalized drift-diffusion model (GDDM) framework for building and fitting DDM extensions, and provide a software package which implements the framework. The GDDM framework augments traditional DDM parameters through arbitrary user-defined functions. Models are solved numerically by directly solving the Fokker-Planck equation using efficient numerical methods, yielding a 100-fold or greater speedup over standard methodology. This speed allows GDDMs to be fit to data using maximum likelihood on the full response time (RT) distribution. We demonstrate fitting of GDDMs within our framework to both animal and human datasets from perceptual decision-making tasks, with better accuracy and fewer parameters than several DDMs implemented using the latest methodology, to test hypothesized decision-making mechanisms. Overall, our framework will allow for decision-making model innovation and novel experimental designs.
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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.