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Classification of Fixed Point Network Dynamics from Multiple Node Timeseries Data
Fixed point networks are dynamic networks encoding stimuli via distinct output patterns. Although, such networks are common in neural systems, their structures are typically unknown or poorly characterized. It is thereby valuable to use a supervised approach for resolving how a network encodes input...
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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.
2017
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5611511/ https://ncbi.nlm.nih.gov/pubmed/28979202 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fninf.2017.00058 |
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