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An integration-to-bound model of decision-making that accounts for the spectral properties of neural data
Integration-to-bound models are among the most widely used models of perceptual decision-making due to their simplicity and power in accounting for behavioral and neurophysiological data. They involve temporal integration over an input signal (“evidence”) plus Gaussian white noise. However, brain da...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6557846/ https://www.ncbi.nlm.nih.gov/pubmed/31182724 http://dx.doi.org/10.1038/s41598-019-44197-0 |