Highly Influenced

- Published 2003 in Neural Computation
DOI:10.1162/08997660360675035

We study the one-dimensional normal form of a saddle-node system under the influence of additive gaussian white noise and a static "bias current" input parameter, a model that can be looked upon as the simplest version of a type I neuron with stochastic input. This is in contrast with the numerous studies devoted to the noise-driven leaky integrate-and-fire… CONTINUE READING

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