ArticlePsychological review2018
Decision making on spatially continuous scales.
Article in Psychological review, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Decision Dynamics in Early Numerical Estimation: Evidence from the Dual-NLET and Drift Diffusion Modeling.Journal of Intelligence · 2026Article
- Parameter estimation of hyper-spherical diffusion models with a time-dependent threshold: An integral equation method.Behavior research methods · 2025Article
- The role of affective states in computational psychiatry.The international journal of neuropsychopharmacology · 2025Review
- The Tweedledum and Tweedledee of dynamic decisions: Discriminating between diffusion decision and accumulator models.Psychonomic bulletin & review · 2025Review
- EZ-CDM: Fast, simple, robust, and accurate estimation of circular diffusion model parameters.Psychonomic bulletin & review · 2024Review
- A tutorial on fitting joint models of M/EEG and behavior to understand cognition.Behavior research methods · 2024Article
- The autocorrelated Bayesian sampler: A rational process for probability judgments, estimates, confidence intervals, choices, confidence judgments, and response times.Psychological review · 2024Article
- Are there jumps in evidence accumulation, and what, if anything, do they reflect psychologically? An analysis of Lévy Flights models of decision-making.Psychonomic bulletin & review · 2024Review
- A diffusion model analysis of age and individual differences in the retro-cue benefit.Scientific reports · 2023Article
- Framing Subjective Emotion Reports as Dynamic Affective Decisions.Affective science · 2023Review
- A Modeling Framework to Examine Psychological Processes Underlying Ordinal Responses and Response Times of Psychometric Data.Psychometrika · 2023Article
- A spatially continuous diffusion model of visual working memory.Cognitive psychology · 2023Article
- Encoding of continuous perceptual choices in human early visual cortex.Frontiers in human neuroscience · 2023Article
- Modeling evidence accumulation decision processes using integral equations: Urgency-gating and collapsing boundaries.Psychological review · 2022Article
- Stimulus Reliability Automatically Biases Temporal Integration of Discrete Perceptual Targets in the Human Brain.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
- A circular diffusion model of continuous-outcome source memory retrieval: Contrasting continuous and threshold accounts.Psychonomic bulletin & review · 2021Review
- A distributional and dynamic theory of pricing and preference.Psychological review · 2020Article
- Decision making in numeracy tasks with spatially continuous scales.Cognitive psychology · 2020Article
- Does response modality influence conflict? Modelling vocal and manual response Stroop interference.Journal of experimental psychology. Learning, memory, and cognition · 2019Article
- Affect and Decision Making: Insights and Predictions from Computational Models.Trends in cognitive sciences · 2019Review
Corrections and comments
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Authors and funding
1 author.
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Abstract
A new diffusion model of decision making in continuous space is presented and tested. The model is a sequential sampling model in which both spatially continuously distributed evidence and noise are accumulated up to a decision criterion (a 1 dimensional [1D] line or a 2 dimensional [2D] plane). There are two major advances represented in this research. The first is to use spatially continuously distributed Gaussian noise in the decision process (Gaussian process or Gaussian random field noise) which allows the model to represent truly spatially continuous processes. The second is a series of experiments that collect data from a variety of tasks and response modes to provide the basis for testing the model. The model accounts for the distributions of responses over position and response time distributions for the choices. The model applies to tasks in which the stimulus and the response coincide (moving eyes or fingers to brightened areas in a field of pixels) and ones in which they do not (color, motion, and direction identification). The model also applies to tasks in which the response is made with eye movements, finger movements, or mouse movements. This modeling offers a wide potential scope of applications including application to any device or scale in which responses are made on a 1D continuous scale or in a 2D spatial field. (PsycINFO Database Record (c) 2018 APA, all rights reserved).
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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.