A Bayesian Reformulation of the Extended Drift-Diffusion Model in Perceptual Decision Making

Autor: Fard, Pouyan R., Park, Hame, Warkentin, Andrej, Kiebel, Stefan J., Bitzer, Sebastian

Publikováno v: Frontiers in Computational Neuroscience (2017), 11, ISSN: 1662-5188. DOI: 10.3389/fncom.2017.00029. Artikelnr.: 29

Perceptual decision making can be described as a process of accumulating evidence to a bound which has been formalized within drift-diffusion models (DDMs). Recently, an equivalent Bayesian model has been proposed. In contrast to standard DDMs, this

Externí odkaz: http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-230313
http://www.qucosa.de/fileadmin/data/qucosa/documents/23031/fncom-11-00029%20%281%29.pdf

A Bayesian Reformulation of the Extended Drift-Diffusion Model in Perceptual Decision Making.

Autor: Fard PR; Department of Psychology, Technische Universität DresdenDresden, Germany., Park H; Department of Psychology, Technische Universität DresdenDresden, Germany., Warkentin A; Bernstein Center for Computational NeuroscienceBerlin, Germany., Kiebel SJ; Department of Psychology, Technische Universität DresdenDresden, Germany., Bitzer S; Department of Psychology, Technische Universität DresdenDresden, Germany.

Publikováno v: Frontiers in computational neuroscience [Front Comput Neurosci] 2017 May 11; Vol. 11, pp. 29. Date of Electronic Publication: 2017 May 11 (Print Publication: 2017).