Firing Rate of Noisy Integrate-and-fire Neurons with Synaptic Current Dynamics
David Andrieux, Takaaki Monnai

TL;DR
This paper derives analytical formulas for the firing rate of noisy integrate-and-fire neurons considering realistic synaptic dynamics, multiple inputs, and refractory periods, enhancing understanding of neuronal response behavior.
Contribution
It introduces new analytical expressions for neuron firing rates that incorporate complex synaptic and refractory effects, advancing theoretical neuron modeling.
Findings
Derived formulas account for multiple synaptic inputs.
Included effects of absolute refractory period.
Enhanced accuracy of firing rate predictions.
Abstract
We derive analytical formulae for the firing rate of integrate-and-fire neurons endowed with realistic synaptic dynamics. In particular we include the possibility of multiple synaptic inputs as well as the effect of an absolute refractory period into the description.
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