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A neural network model of the Eriksen task: Reduction, analysis, and data fitting

We analyze a neural network model of the Eriksen task, a two-alternative forced choice task in which subjects must correctly identify a central stimulus and disregard flankers that may or may not be compatible with it. We linearize and decouple the model, deriving a reduced drift-diffusion process w...

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Autors principals: Liu, Yuan Sophie, Holmes, Philip, Cohen, Jonathan D.
Format: Artigo
Idioma:Inglês
Publicat: 2008
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC2749974/
https://ncbi.nlm.nih.gov/pubmed/18045022
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1162/neco.2007.08-06-313
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