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• W2032732305 abstract "Neural variability in the presence of noise has been studied mainly in resonator neurons, such as Hodgkin-Huxley or FitzHugh-Nagumo models. Here we investigate this variability for integrator neurons, whose excitability is due to a saddle-node bifurcation of the rest state instead of a Hopf bifurcation. Using simple theoretical expressions for the interspike times distributions, we obtain coefficients of variation in good agreement with numerical calculations in realistic neuron models. The main features of this coefficient as a function of noise depend on the refractory period and on the presence of bistability. The bistability is responsible for the existence of two different time scales in the spiking behavior giving an antiresonance effect." @default.
• W2032732305 created "2016-06-24" @default.
• W2032732305 creator A5006594306 @default.
• W2032732305 creator A5060819887 @default.
• W2032732305 date "2005-01-27" @default.
• W2032732305 modified "2023-09-26" @default.
• W2032732305 title "Variability in noise-driven integrator neurons" @default.
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• W2032732305 doi "https://doi.org/10.1103/physreve.71.011911" @default.
• W2032732305 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/15697634" @default.
• W2032732305 hasPublicationYear "2005" @default.
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