%0 Journal Article
%A Susi, Gianluca
%A Cristini, Alessandro
%A Salerno, Mario
%T Path multimodality in a Feedforward SNN module, using LIF with Latency model
%D 2016
%@ 1210-0552
%@ 2336-4335
%U https://hdl.handle.net/20.500.14352/116976
%X In this paper, simulation results of a feedforward SNN affected by synchronous stimuli are discussed. Thenetwork transmission properties are investigated in function of both neuron and network parameters; in particular, theconnection probability and the synaptic strengths are considered. By means of an event-driven method, all simulationsare 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. Throughthis phenomenon, the output layer of the network can generate a number of temporally spaced groups of synchronousspikes. The multimodality feature can be applied for various purposes, for instance in coding or else transmissionissues
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