Literature DB >> 25761391

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

Stijn Verdonck1, Kristof Meers2, Francis Tuerlinckx2.   

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.

Keywords:  Diffusion model; Euler-Maruyama; First passage time; GPU; Simulation

Mesh:

Year:  2016        PMID: 25761391     DOI: 10.3758/s13428-015-0569-0

Source DB:  PubMed          Journal:  Behav Res Methods        ISSN: 1554-351X


  2 in total

1.  Efficient estimation of bounded gradient-drift diffusion models for affect on CPU and GPU.

Authors:  Tim Loossens; Kristof Meers; Niels Vanhasbroeck; Nil Anarat; Stijn Verdonck; Francis Tuerlinckx
Journal:  Behav Res Methods       Date:  2021-09-24

2.  A flexible framework for simulating and fitting generalized drift-diffusion models.

Authors:  Maxwell Shinn; Norman H Lam; John D Murray
Journal:  Elife       Date:  2020-08-04       Impact factor: 8.140

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.