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Dendritic morphology predicts pattern recognition performance in multi-compartmental model neurons with and without active conductances
In this paper we examine how a neuron’s dendritic morphology can affect its pattern recognition performance. We use two different algorithms to systematically explore the space of dendritic morphologies: an algorithm that generates all possible dendritic trees with 22 terminal points, and one that c...
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| Опубликовано в: : | J Comput Neurosci |
|---|---|
| Главные авторы: | , , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Springer US
2014
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4350002/ https://ncbi.nlm.nih.gov/pubmed/25380637 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10827-014-0537-1 |
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