HDDM: Hierarchical Bayesian estimation of the Drift-Diffusion Model in Python

The diffusion model is a commonly used tool to infer latent psychological processes underlying decision making, and to link them to neural mechanisms based on reaction times. Although efficient open source software has been made available to quantitatively fit the model to data, current estimation...

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Bibliographic Details
Main Authors: Thomas V Wiecki, Imri eSofer, Michael J Frank
Format: Article
Language:English
Published: Frontiers Media S.A. 2013-08-01
Series:Frontiers in Neuroinformatics
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fninf.2013.00014/full