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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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| Pubblicato in: | PLoS Comput Biol |
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| Autore principale: | |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Public Library of Science
2019
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| Soggetti: | |
| Accesso online: | 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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