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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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Detalles Bibliográficos
Principais autores: Thomas V Wiecki, Imri eSofer, Michael J Frank
Formato: Artigo
Idioma:Inglês
Publicado: Frontiers Media S.A. 2013-08-01
Series:Frontiers in Neuroinformatics
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Acceso en liña:http://journal.frontiersin.org/Journal/10.3389/fninf.2013.00014/full
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