Efficient simulation of diffusion-based choice RT models on CPU and GPU

In this paper, we present software for the efficient simulation of a broad class of linear and nonlinear diffusion models for choice RT, using either CPU or graphical processing unit (GPU) technology. The software is readily accessible from the popular scripting languages MATLAB and R (both 64-bit)....

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Bibliographic Details
Published in:Behavior research methods 2016-03, Vol.48 (1), p.13-27
Main Authors: Verdonck, Stijn, Meers, Kristof, Tuerlinckx, Francis
Format: Article
Language:English
Subjects:
Algorithms
Behavioral Science and Psychology
Choice Behavior
Cognitive Psychology
Computer Simulation
Humans
Nonlinear Dynamics
Psychology
Reaction Time
Simulation
Software
Statistical inference
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Summary:In this paper, we present software for the efficient simulation of a broad class of linear and nonlinear diffusion models for choice RT, using either CPU or graphical processing unit (GPU) technology. The software is readily accessible from the popular scripting languages MATLAB and R (both 64-bit). The speed obtained on a single high-end GPU is comparable to that of a small CPU cluster, bringing standard statistical inference of complex diffusion models to the desktop platform.
ISSN:1554-3528
1554-3528
DOI:10.3758/s13428-015-0569-0