Abstract
Noise-induced firing activity in the form of bursts of spikes is usually described by means of excitable systems that combine deterministic subthreshold oscillations with noise. In this paper, spontaneous bursting activity is obtained by submitting the well-known FitzHugh-Nagumo (FHN) model to quasi-monochromatic noise (QMN). In the regime of interest, the noise variable performs fast random oscillations with a fluctuating amplitude that varies in a slower time scale. Interspike interval histograms (ISIHs) for the voltage variable of the FHN model are obtained which, in some cases, show an imperfect phase locking between interspike intervals and both the period of the fundamental oscillatory component and the time scale of the random modulation of the noise. QMN seems to be a good candidate to describe the intrinsic noisy oscillations that lead to bursting in real neurons.
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