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A Dynamic Bayesian Model for Characterizing Cross-Neuronal Interactions During Decision-Making
The goal of this paper is to develop a novel statistical model for studying cross-neuronal spike train interactions during decision making. For an individual to successfully complete the task of decision-making, a number of temporally-organized events must occur: stimuli must be detected, potential...
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| Опубликовано в: : | J Am Stat Assoc |
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| Главные авторы: | , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2016
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5155514/ https://ncbi.nlm.nih.gov/pubmed/27990034 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/01621459.2015.1116988 |
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