Output stream of leaky integrate and fire neuron
A. K. Vidybida

TL;DR
This paper derives an exact probability density function for the output interspike intervals of a leaky integrate-and-fire neuron driven by a Poisson input stream, avoiding the common diffusion approximation.
Contribution
It provides an exact analytical expression for interspike interval distribution in leaky integrate-and-fire neurons under Poisson stimulation, enhancing theoretical understanding.
Findings
Exact interspike interval distribution derived
Diffusion approximation not used
Improves neuron firing model accuracy
Abstract
Probability density function of output interspike intervals is found in exact form for leaky integrate and fire neuron stimulated with Poisson stream. The diffusion approximation is not exploited.
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Taxonomy
TopicsNeural dynamics and brain function · stochastic dynamics and bifurcation · Advanced Memory and Neural Computing
