Cognitive models of decision-making with identifiable parameters: Diffusion decision models with within-trial noise

No abstract is available for this paper.

• Publication year

  2025

• Venue

  Journal of Mathematical Psychology

• Publication date

  2025-05-01

• Fields of study

  Not labeled

• Identifiers
  DOI 10.1016/j.jmp.2025.102917
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• The common factor of executive functions measures nothing but speed of information uptake

  2024cited by this paper
• A tutorial on fitting joint models of M/EEG and behavior to understand cognition

  2024cited by this paper
• A General Integrative Neurocognitive Modeling Framework to Jointly Describe EEG and Decision-making on Single Trials

  2023cited by this paper
• Neuro-cognitive models of single-trial EEG measures describe latent effects of spatial attention during perceptual decision making

  2022cited by this paper
• Computational analysis of speed-accuracy tradeoff

  2022cited by this paper
• Process-oriented intelligence research: A review from the cognitive perspective

  2022cited by this paper
• Exploring Neural Signal Complexity as a Potential Link between Creative Thinking, Intelligence, and Cognitive Control

  2021cited by this paper
• Linking neurophysiological processes of action monitoring to post-response speed-accuracy adjustments in a neuro-cognitive diffusion model

  2021cited by this paper
• Causal role for the primate superior colliculus in the computation of evidence for perceptual decisions

  2021cited by this paper
• Neither measurement error nor speed–accuracy trade-offs explain the difficulty of establishing attentional control as a psychometric construct: Evidence from a latent-variable analysis using diffusion modeling

  2021cited by this paper
• Neurocognitive Psychometrics of Intelligence: How Measurement Advancements Unveiled the Role of Mental Speed in Intelligence Differences

  2020cited by this paper
• Diffusion modeling and intelligence: Drift rates show both domain-general and domain-specific relations with intelligence.

  2020cited by this paper
• BayesFlow: Learning Complex Stochastic Models With Invertible Neural Networks

  2020cited by this paper
• The interpretation of behavior-model correlations in unidentified cognitive models

  2020cited by this paper
• Individual Differences in Cortical Processing Speed Predict Cognitive Abilities: a Model-Based Cognitive Neuroscience Account

  2018cited by this paper
• Bridging Neural and Computational Viewpoints on Perceptual Decision-Making

  2018cited by this paper
• A psychometrics of individual differences in experimental tasks

  2018cited by this paper
• The Quality of Response Time Data Inference: A Blinded, Collaborative Assessment of the Validity of Cognitive Models

  2018cited by this paper
• An Attention-Based Diffusion Model for Psychometric Analyses

  2018cited by this paper
• Estimating across-trial variability parameters of the Diffusion Decision Model: Expert advice and recommendations

  2018cited by this paper
• Timing of Readiness Potentials Reflect a Decision-making Process in the Human Brain

  2018cited by this paper
• Cognitive Models in Intelligence Research: Advantages and Recommendations for Their Application

  2018cited by this paper
• Stan: A Probabilistic Programming Language.

  2017cited by this paper
• How attention influences perceptual decision making: Single-trial EEG correlates of drift-diffusion model parameters.

  2017cited by this paper
• The EZ diffusion model provides a powerful test of simple empirical effects

  2016cited by this paper
• Diffusion Decision Model: Current Issues and History.

  2016cited by this paper
• A single trial analysis of EEG in recognition memory: Tracking the neural correlates of memory strength.

  2016cited by this paper
• fMRI and EEG Predictors of Dynamic Decision Parameters during Human Reinforcement Learning

  2015cited by this paper
• Perfect error processing: Perfectionism-related variations in action monitoring and error processing mechanisms.

  2015cited by this paper
• Individual differences in attention influence perceptual decision making

  2015cited by this paper
• Neural dynamics implement a flexible decision bound with a fixed firing rate for choice: a model-based hypothesis

  2014cited by this paper
• On the neural implementation of the speed-accuracy trade-off

  2014cited by this paper
• Moment-to-moment brain signal variability: a next frontier in human brain mapping?

  2013cited by this paper
• Decision making as a window on cognition.

  2013cited by this paper
• HDDM: Hierarchical Bayesian estimation of the Drift-Diffusion Model in Python

  2013cited by this paper
• Classic EEG motor potentials track the emergence of value-based decisions

  2013cited by this paper
• Extending JAGS: A tutorial on adding custom distributions to JAGS (with a diffusion model example)

  2013cited by this paper
• Neural mechanisms of speed-accuracy tradeoff.

  2012cited by this paper
• A supramodal accumulation-to-bound signal that determines perceptual decisions in humans

  2012cited by this paper
• lavaan: An R Package for Structural Equation Modeling

  2012cited by this paper
• The Speed-Accuracy Tradeoff in the Elderly Brain: A Structural Model-Based Approach

  2011cited by this paper
• A diffusion model decomposition of the effects of alcohol on perceptual decision making

  2011cited by this paper
• Subthalamic nucleus stimulation reverses mediofrontal influence over decision threshold

  2011cited by this paper
• The neural basis of the speed-accuracy tradeoff.

  2010cited by this paper
• Visual fixations and the computation and comparison of value in simple choice

  2010cited by this paper
• Inverse problems in astronomical adaptive optics

  2009cited by this paper
• The overconstraint of response time models: Rethinking the scaling problem

  2009cited by this paper
• Striatum and pre-SMA facilitate decision-making under time pressure

  2008cited by this paper
• Fast-dm: A free program for efficient diffusion model analysis

  2007cited by this paper
• Individual differences in components of reaction time distributions and their relations to working memory and intelligence.

  2007cited by this paper
• An EZ-diffusion model for response time and accuracy

  2007cited by this paper
• Popper, Bayes and the inverse problem

  2006cited by this paper
• The efficient computation of the cumulative distribution and probability density functions in the diffusion model

  2004cited by this paper
• A diffusion model analysis of the effects of aging in the lexical-decision task.

  2004cited by this paper
• Interpreting the parameters of the diffusion model: An empirical validation

  2004cited by this paper
• Response of Neurons in the Lateral Intraparietal Area during a Combined Visual Discrimination Reaction Time Task

  2002cited by this paper
• A Theory of Memory Retrieval.

  1978cited by this paper
• Effects of noise letters upon the identification of a target letter in a nonsearch task

  1974cited by this paper
• Models for choice-reaction time

  1960cited by this paper

• An Expert Guide to Planning Experimental Tasks For Evidence-Accumulation Modeling

  2025cites this paper
• Non-decision time-informed collapsing threshold diffusion model: A joint modeling framework with identifiable time-dependent parameters

  2025influential citation