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A case study in the functional consequences of scaling the sizes of realistic cortical models
Neuroscience models come in a wide range of scales and specificity, from mean-field rate models to large-scale networks of spiking neurons. There are potential trade-offs between simplicity and realism, versatility and computational speed. This paper is about large-scale cortical network models, and...
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| 出版年: | PLoS Comput Biol |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Public Library of Science
2019
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6677387/ https://ncbi.nlm.nih.gov/pubmed/31335880 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1007198 |
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