Literature DB >> 26952739

Diffusion Decision Model: Current Issues and History.

Roger Ratcliff1, Philip L Smith2, Scott D Brown3, Gail McKoon4.   

Abstract

There is growing interest in diffusion models to represent the cognitive and neural processes of speeded decision making. Sequential-sampling models like the diffusion model have a long history in psychology. They view decision making as a process of noisy accumulation of evidence from a stimulus. The standard model assumes that evidence accumulates at a constant rate during the second or two it takes to make a decision. This process can be linked to the behaviors of populations of neurons and to theories of optimality. Diffusion models have been used successfully in a range of cognitive tasks and as psychometric tools in clinical research to examine individual differences. In this review, we relate the models to both earlier and more recent research in psychology.
Copyright © 2016. Published by Elsevier Ltd.

Entities:  

Keywords:  diffusion model; nonstationarity; optimality; response time

Mesh:

Year:  2016        PMID: 26952739      PMCID: PMC4928591          DOI: 10.1016/j.tics.2016.01.007

Source DB:  PubMed          Journal:  Trends Cogn Sci        ISSN: 1364-6613            Impact factor:   20.229


  162 in total

1.  A diffusion model analysis of the effects of aging on brightness discrimination.

Authors:  Roger Ratcliff; Anjali Thapar; Gail McKoon
Journal:  Percept Psychophys       Date:  2003-05

2.  A comparison of sequential sampling models for two-choice reaction time.

Authors:  Roger Ratcliff; Philip L Smith
Journal:  Psychol Rev       Date:  2004-04       Impact factor: 8.934

3.  Application of the diffusion model to two-choice tasks for adults 75-90 years old.

Authors:  Roger Ratcliff; Anjali Thapar; Gail McKoon
Journal:  Psychol Aging       Date:  2007-03

Review 4.  The diffusion decision model: theory and data for two-choice decision tasks.

Authors:  Roger Ratcliff; Gail McKoon
Journal:  Neural Comput       Date:  2008-04       Impact factor: 2.026

5.  Quality of evidence for perceptual decision making is indexed by trial-to-trial variability of the EEG.

Authors:  Roger Ratcliff; Marios G Philiastides; Paul Sajda
Journal:  Proc Natl Acad Sci U S A       Date:  2009-04-02       Impact factor: 11.205

6.  The EZ diffusion method: too EZ?

Authors:  Roger Ratcliff
Journal:  Psychon Bull Rev       Date:  2008-12

Review 7.  Diffusion models in experimental psychology: a practical introduction.

Authors:  Andreas Voss; Markus Nagler; Veronika Lerche
Journal:  Exp Psychol       Date:  2013

8.  Modeling individual differences in response time and accuracy in numeracy.

Authors:  Roger Ratcliff; Clarissa A Thompson; Gail McKoon
Journal:  Cognition       Date:  2015-01-29

9.  Using diffusion models to understand clinical disorders.

Authors:  Corey N White; Roger Ratcliff; Michael W Vasey; Gail McKoon
Journal:  J Math Psychol       Date:  2010-02-01       Impact factor: 2.223

10.  Rats and humans can optimally accumulate evidence for decision-making.

Authors:  Bingni W Brunton; Matthew M Botvinick; Carlos D Brody
Journal:  Science       Date:  2013-04-05       Impact factor: 47.728

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  265 in total

Review 1.  The Role of the Lateral Intraparietal Area in (the Study of) Decision Making.

Authors:  Alexander C Huk; Leor N Katz; Jacob L Yates
Journal:  Annu Rev Neurosci       Date:  2017-07-25       Impact factor: 12.449

2.  Effects of aging in a task-switch paradigm with the diffusion decision model.

Authors:  Nadja R Ging-Jehli; Roger Ratcliff
Journal:  Psychol Aging       Date:  2020-07-27

3.  A diffusion model analysis of sustained attention in children with attention deficit hyperactivity disorder.

Authors:  Cynthia Huang-Pollock; Roger Ratcliff; Gail McKoon; Alexandra Roule; Tyler Warner; Jason Feldman; Shane Wise
Journal:  Neuropsychology       Date:  2020-04-23       Impact factor: 3.295

4.  A martingale analysis of first passage times of time-dependent Wiener diffusion models.

Authors:  Vaibhav Srivastava; Samuel F Feng; Jonathan D Cohen; Naomi Ehrich Leonard; Amitai Shenhav
Journal:  J Math Psychol       Date:  2016-11-09       Impact factor: 2.223

5.  Value-Based Choice, Contingency Learning, and Suicidal Behavior in Mid- and Late-Life Depression.

Authors:  Alexandre Y Dombrovski; Michael N Hallquist; Vanessa M Brown; Jonathan Wilson; Katalin Szanto
Journal:  Biol Psychiatry       Date:  2018-10-18       Impact factor: 13.382

6.  Robustness of statistical methods when measure is affected by ceiling and/or floor effect.

Authors:  Matúš Šimkovic; Birgit Träuble
Journal:  PLoS One       Date:  2019-08-19       Impact factor: 3.240

Review 7.  Foraging for foundations in decision neuroscience: insights from ethology.

Authors:  Dean Mobbs; Pete C Trimmer; Daniel T Blumstein; Peter Dayan
Journal:  Nat Rev Neurosci       Date:  2018-07       Impact factor: 34.870

8.  Mental illness and well-being: an affect regulation perspective.

Authors:  James J Gross; Helen Uusberg; Andero Uusberg
Journal:  World Psychiatry       Date:  2019-06       Impact factor: 49.548

9.  Valence and ownership: object desirability influences self-prioritization.

Authors:  Marius Golubickis; Nerissa S P Ho; Johanna K Falbén; Carlotta L Schwertel; Alessia Maiuri; Dagmara Dublas; William A Cunningham; C Neil Macrae
Journal:  Psychol Res       Date:  2019-08-01

10.  Accounting for Taste: A Multi-Attribute Neurocomputational Model Explains the Neural Dynamics of Choices for Self and Others.

Authors:  Alison Harris; John A Clithero; Cendri A Hutcherson
Journal:  J Neurosci       Date:  2018-08-03       Impact factor: 6.167

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