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A common goodness-of-fit framework for neural population models using marked point process time-rescaling
A critical component of any statistical modeling procedure is the ability to assess the goodness-of-fit between a model and observed data. For spike train models of individual neurons, many goodness-of-fit measures rely on the time-rescaling theorem and assess model quality using rescaled spike time...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6208891/ https://www.ncbi.nlm.nih.gov/pubmed/30298220 http://dx.doi.org/10.1007/s10827-018-0698-4 |