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Efficient simulation of diffusion-based choice RT models on CPU and GPU
Journal Contribution - Journal Article
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.
Journal: Behavior Research Methods
Pages: 13 - 27
Authors from:Higher Education