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Testing the drift-diffusion model
The drift-diffusion model (DDM) is a model of sequential sampling with diffusion signals, where the decision maker accumulates evidence until the process hits either an upper or lower stopping boundary and then stops and chooses the alternative that corresponds to that boundary. In perceptual tasks,...
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| Pubblicato in: | Proc Natl Acad Sci U S A |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
National Academy of Sciences
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7776861/ https://ncbi.nlm.nih.gov/pubmed/33310903 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.2011446117 |
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