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Stochastic neural field model of stimulus-dependent variability in cortical neurons
We use stochastic neural field theory to analyze the stimulus-dependent tuning of neural variability in ring attractor networks. We apply perturbation methods to show how the neural field equations can be reduced to a pair of stochastic nonlinear phase equations describing the stochastic wandering o...
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| 出版年: | PLoS Comput Biol |
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| 第一著者: | |
| 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/PMC6438587/ https://ncbi.nlm.nih.gov/pubmed/30883546 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1006755 |
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