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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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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6438587/ https://www.ncbi.nlm.nih.gov/pubmed/30883546 http://dx.doi.org/10.1371/journal.pcbi.1006755 |