Siegert Neuron

The Siegert Neuron has a transfer function equivalent to a leaky integrate-and-fire neuron.

if y=siegert(x,w,param), an integrate and fire neuron with an array of poisson-process inputs, averaged over a long time, will have an output firing rate that is the same function of the input firing rates:
rate_out=siegert(rate_in,w,param).

The siegert neuron provides a bridge between time-step models and event-driven models.