ArticleFrontiers in computational neuroscience2013
Direct connections assist neurons to detect correlation in small amplitude noises.
Article in Frontiers in computational neuroscience, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- Stabilizing synchrony by inhomogeneity.Scientific reports · 2015Article
- Correlated neuronal activity and its relationship to coding, dynamics and network architecture.Frontiers in computational neuroscience · 2014Article
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3 authors.
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Abstract
We address a question on the effect of common stochastic inputs on the correlation of the spike trains of two neurons when they are coupled through direct connections. We show that the change in the correlation of small amplitude stochastic inputs can be better detected when the neurons are connected by direct excitatory couplings. Depending on whether intrinsic firing rate of the neurons is identical or slightly different, symmetric or asymmetric connections can increase the sensitivity of the system to the input correlation by changing the mean slope of the correlation transfer function over a given range of input correlation. In either case, there is also an optimum value for synaptic strength which maximizes the sensitivity of the system to the changes in input correlation.
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