Path multimodality in a Feedforward SNN module, using LIF with Latency model

Abstract

In this paper, simulation results of a feedforward SNN affected by synchronous stimuli are discussed. The network transmission properties are investigated in function of both neuron and network parameters; in particular, the connection probability and the synaptic strengths are considered. By means of an event-driven method, all simulations are conducted using the LIF with Latency (LIFL) model. Typical cases are discussed, in which a network section (module) is able to process the input information, introducing a particular behavior, called path multimodality. Through this phenomenon, the output layer of the network can generate a number of temporally spaced groups of synchronous spikes. The multimodality feature can be applied for various purposes, for instance in coding or else transmission issues