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

• Published in: Frontiers in neuroinformatics Vol. 7; p. 14
• Main Authors: Wiecki, Thomas V., Sofer, Imri, Frank, Michael J.
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Research Foundation 01.01.2013; Frontiers Media S.A
• Subjects: Bayesian analysis; Bayesian modeling; Computer programs; Decision Making; Diffusion; Drift; Drift diffusion model; Economic models; Functional magnetic resonance imaging; Hypothesis testing; Methods; Neuroscience; Neurosciences; Open source software; Parameter estimation; python; Quantitative psychology; Software; drift diffusion model; software; decision-making; Bayesian modeling; 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 response times. Although efficient open source software has been made available to quantitatively fit the model to data, current estimation m...