A jump-diffusion process is used to model the interspike intervals distribution of neurons possessing some synapses separate from the main dendritic tree. We recognize instances of multimodal interspike intervals distribution and we qualitatively explain the phenomenon and its consequences when the underlying diffusion is a Wiener process and the jumps of constant positive and negative amplitude are Poisson time distributed.
Multimodality of the interspike interval distribution in a simple jump-diffusion model.
SACERDOTE, Laura Lea;SIROVICH, ROBERTA
2003-01-01
Abstract
A jump-diffusion process is used to model the interspike intervals distribution of neurons possessing some synapses separate from the main dendritic tree. We recognize instances of multimodal interspike intervals distribution and we qualitatively explain the phenomenon and its consequences when the underlying diffusion is a Wiener process and the jumps of constant positive and negative amplitude are Poisson time distributed.
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