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 |
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| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
perzeptuelle Entscheidungsfindung
Drift-Diffusionsmodell Bayes-Modelle Parameteranpassung exakte Eingangsmodellierung Modellvergleich Single-Trial-Modelle Technische Universität Dresden Publikationsfonds perceptual decision making drift-diffusion model Bayesian models parameter fitting exact input modeling model comparison single-trial models Technische Universität Dresden Publishing Fund info:eu-repo/classification/ddc/610 ddc:610 |
| Druh dokumentu: | Článek |
| DOI: | 10.3389/fncom.2017.00029 |
| Popis: | 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 Bayesian model directly links information in the stimulus to the decision process. Here, we extend this Bayesian model further and allow inter-trial variability of two parameters following the extended version of the DDM. We derive parameter distributions for the Bayesian model and show that they lead to predictions that are qualitatively equivalent to those made by the extended drift-diffusion model (eDDM). Further, we demonstrate the usefulness of the extended Bayesian model (eBM) for the analysis of concrete behavioral data. Specifically, using Bayesian model selection, we find evidence that including additional inter-trial parameter variability provides for a better model, when the model is constrained by trial-wise stimulus features. This result is remarkable because it was derived using just 200 trials per condition, which is typically thought to be insufficient for identifying variability parameters in DDMs. In sum, we present a Bayesian analysis, which provides for a novel and promising analysis of perceptual decision making experiments. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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