Effect of the synaptic time constant on stochastic spiking neurons (original) (raw)

The paper investigates the impact of synaptic time constants on the behavior of stochastic spiking neurons. It posits that the stochastic nature of spikes can be modeled using inhomogeneous Poisson processes, with a focus on the spike response function's effects on firing probabilities under varying synaptic conditions. Key findings indicate that variability in firing probability is primarily influenced by the membrane potential's variance, suggesting that traditional simplifications may overlook critical dynamics in neuronal responses.