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Simulation of Large Scale Neural Models With Event-Driven Connectivity Generation
Accurate simulations of brain structures is a major problem in neuroscience. Many works are dedicated to design better models or to develop more efficient simulation schemes. In this paper, we propose a hybrid simulation scheme that combines time-stepping second-order integration of Hodgkin-Huxley (...
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| 出版年: | Front Neuroinform |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Frontiers Media S.A.
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7591773/ https://ncbi.nlm.nih.gov/pubmed/33154719 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fninf.2020.522000 |
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