title: Efficient simulation of diffusion-based choice RT models on CPU and GPU.
abstract: 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.
authors.affiliation: Faculty of Psychology and Educational Sciences, University of Leuven, Leuven, Belgium. stijn.verdonck@ppw.kuleuven.be.
authors.forename: Stijn
authors.initials: S
authors.lastname: Verdonck
authors.affiliation: Faculty of Psychology and Educational Sciences, University of Leuven, Leuven, Belgium.
authors.forename: Kristof
authors.initials: K
authors.lastname: Meers
authors.affiliation: Faculty of Psychology and Educational Sciences, University of Leuven, Leuven, Belgium.
authors.forename: Francis
authors.initials: F
authors.lastname: Tuerlinckx
mesh_terms: D000465:Algorithms; D002755:Choice Behavior; D003198:Computer Simulation; D006801:Humans; D017711:Nonlinear Dynamics; D011930:Reaction Time; D012984:Software
keywords: Diffusion model; Euler-Maruyama; First passage time; GPU; Simulation