Diffusion decision model: current issues and history

Title: Diffusion decision model: current issues and history
Creator: Ratcliff, Roger; Smith, Philip L.; Brown, Scott D.; McKoon, Gail
Relation: ARC.DP140102970 and FT120100244 http://purl.org/au-research/grants/arc/FT120100244
Relation: Trends in Cognitive Sciences Vol. 20, Issue 4, p. 260-281
Publisher Link: http://dx.doi.org/10.1016/j.tics.2016.01.007
Publisher: Elsevier
Resource Type: journal article
Date: 2016
Description: 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.
Subject: diffusion model; response time; optimality; nonstationarity
Identifier: http://hdl.handle.net/1959.13/1346248
Identifier: uon:29817
Identifier: ISSN:1364-6613
Language: eng
Reviewed

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