RT Journal Article
T1 Path multimodality in a Feedforward SNN module, using LIF with Latency model
A1 Susi, Gianluca
A1 Cristini, Alessandro
A1 Salerno, Mario
AB 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
PB Czech Academy of Sciences
SN 1210-0552
SN 2336-4335
YR 2016
FD 2016-09-02
LK https://hdl.handle.net/20.500.14352/116976
UL https://hdl.handle.net/20.500.14352/116976
LA eng
NO Susi, 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.
DS Docta Complutense
RD 13 abr 2025