  We study a system of perfect integrate-and-fire inhibitory neurons. It is a
system of stochastic processes which interact through receiving an
instantaneous increase at the moments they reach certain thresholds. In the
absence of interactions, these processes behave as a spectrally positive L\'evy
processes. Using the fluid approximation approach, we prove convergence to a
stable distribution in total variation.
