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An Overcomplete Approach to Fitting Drift-Diffusion Decision Models to Trial-By-Trial Data
Drift-diffusion models or DDMs are becoming a standard in the field of computational neuroscience. They extend models from signal detection theory by proposing a simple mechanistic explanation for the observed relationship between decision outcomes and reaction times (RT). In brief, they assume that...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8064018/ https://www.ncbi.nlm.nih.gov/pubmed/33898982 http://dx.doi.org/10.3389/frai.2021.531316 |