Susi, GianlucaCristini, AlessandroSalerno, Mario2025-01-292025-01-292016-09-02Susi, G.; Cristini, A.; Salerno, M. Path multimodality in a Feedforward SNN module, using LIF with Latency model. NNW 2016, 26, 363–376, doi:10.14311/NNW.2016.26.021.1210-05522336-433510.14311/nnw.2016.26.021https://hdl.handle.net/20.500.14352/116976In 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 issuesengPath multimodality in a Feedforward SNN module, using LIF with Latency modeljournal articlehttps://doi.org/10.14311/NNW.2016.26.021open access004.032.26004.94519.6Feedforward SNNLIF with latency modelSynchronyFiring ratePath multimodalityInteligencia artificial (Informática)Física (Física)2299 Otras Especialidades Físicas22 Física