ArticlePsychonomic bulletin & review2018
Some task demands induce collapsing bounds: Evidence from a behavioral analysis.
Article in Psychonomic bulletin & review, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed.
- Efficient Inference in First Passage Time Models.Statistics and computing · 2026Article
- Human decision-makers terminate evidence accumulation using flexible decision rules.bioRxiv : the preprint server for biology · 2026Article
- How the dynamic interplay of cortico-basal ganglia-thalamic pathways shapes the time course of deliberation and commitment.PLoS computational biology · 2026Article
- Learning reweights the decision dynamics of cortico-basal ganglia-thalamic pathways from deliberation to commitment.bioRxiv : the preprint server for biology · 2026Article
- Neurocomputational mechanisms underlying the distinct motivational influences of reward and punishment on cognitive control.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
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- Validation and Comparison of Non-stationary Cognitive Models: A Diffusion Model Application.Computational brain & behavior · 2025Article
- The Tweedledum and Tweedledee of dynamic decisions: Discriminating between diffusion decision and accumulator models.Psychonomic bulletin & review · 2025Review
- Psychometrics of drift-diffusion model parameters derived from the Eriksen flanker task: Reliability and validity in two independent samples.Cognitive, affective & behavioral neuroscience · 2025Article
- Basal ganglia components have distinct computational roles in decision-making dynamics under conflict and uncertainty.PLoS biology · 2025Article
- Bayesian confidence in optimal decisions.Psychological review · 2024Article
- Support for the Time-Varying Drift Rate Model of Perceptual Discrimination in Dynamic and Static Noise Using Bayesian Model-Fitting Methodology.Entropy (Basel, Switzerland) · 2024Article
- Cortical β Power Reflects a Neural Implementation of Decision Boundary Collapse in Speeded Decisions.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
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- Integrated neural dynamics of sensorimotor decisions and actions.PLoS biology · 2022Article
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- Evidence integration and decision confidence are modulated by stimulus consistency.Nature human behaviour · 2022Article
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4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Traditional models of choice-response time assume that sensory evidence accumulates for choice alternatives until a threshold amount of evidence has been obtained. Although some researchers have characterized the threshold as varying randomly from trial to trial, these investigations have all assumed that the threshold remains fixed across time within a trial. Despite decades of successful applications of these models to a variety of experimental manipulations, the time-invariance assumption has recently been called into question, and a time-variant alternative implementing collapsing decision thresholds has been proposed instead. Here, we investigated the fidelity of the collapsing threshold assumption by assessing relative model fit to data from a highly constrained experimental design that coupled a within-subject mixture of two classic response time paradigms-interrogation and free response-within a random dot motion (RDM) task. Overall, we identified strong evidence in favor of collapsing decision thresholds, suggesting that subjects may adopt a dynamic decision policy due to task characteristics, specifically to account for the mixture of response time paradigms and motion strengths across trials in the mixed response signal task. We conclude that time-variant mechanisms may serve as a viable explanation for the strategy used by human subjects in our task.
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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.