Spiking neuron systems are based on biologically inspired neural models of computation since they take into account the precise timing of spike events and therefore are suitable to analyze dynamical aspects of neuronal signal transmission. Further more, they are closer to biophysical models of neurons, synapses, and related elements and their synchronized firing of neuronal assemblies could serve the brain as a code for feature binding and pattern segmentation.

In this research we develop a Spiking Neuron Simulator (SNS) with seven input generators (Sin Waves, Absolute Sin Waves, Random Noise, Discrete Noise, Pulse EXP, Pulse CST, and Square Wave) and...