Format

Send to

Choose Destination
Annu Rev Psychol. 2016;67:641-66. doi: 10.1146/annurev-psych-122414-033645. Epub 2015 Sep 17.

Sequential Sampling Models in Cognitive Neuroscience: Advantages, Applications, and Extensions.

Author information

1
Amsterdam Brain and Cognition Center, University of Amsterdam, 1018 WS Amsterdam, The Netherlands; email: buforstmann@gmail.com.
2
Department of Psychology, Ohio State University, Columbus, Ohio 43210.
3
Department of Methodology, University of Amsterdam, 1018 WV Amsterdam, The Netherlands.

Abstract

Sequential sampling models assume that people make speeded decisions by gradually accumulating noisy information until a threshold of evidence is reached. In cognitive science, one such model--the diffusion decision model--is now regularly used to decompose task performance into underlying processes such as the quality of information processing, response caution, and a priori bias. In the cognitive neurosciences, the diffusion decision model has recently been adopted as a quantitative tool to study the neural basis of decision making under time pressure. We present a selective overview of several recent applications and extensions of the diffusion decision model in the cognitive neurosciences.

KEYWORDS:

decision making; diffusion decision model; drift rate; information accumulation; response time; speed-accuracy trade-off

[Indexed for MEDLINE]
Free PMC Article

Supplemental Content

Full text links

Icon for Atypon Icon for PubMed Central
Loading ...
Support Center