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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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2019-03-01
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| Series: | PLoS Computational Biology |
| Online Access: | http://europepmc.org/articles/PMC6438587?pdf=render |