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

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.641 Click here to view this article’s online features: • Download figures as PPT slides • Navigate linked references • Download citations • Explore related articles • Search