title: Effects of Poisson noise in a IF model with STDP and spontaneous replay of periodic spatiotemporal patterns, in absence of cue stimulation.
abstract: We consider a network of leaky integrate and fire neurons, whose learning mechanism is based on the Spike-Timing-Dependent Plasticity. The spontaneous temporal dynamic of the system is studied, including its storage and replay properties, when a Poissonian noise is added to the post-synaptic potential of the units. The temporal patterns stored in the network are periodic spatiotemporal patterns of spikes. We observe that, even in absence of a cue stimulation, the spontaneous dynamics induced by the noise is a sort of intermittent replay of the patterns stored in the connectivity and a phase transition between a replay and non-replay regime exists at a critical value of the spiking threshold. We characterize this transition by measuring the order parameter and its fluctuations.
authors.affiliation: Department of Physics E. R. Caianiello, University of Salerno, 84084 Fisciano (SA), Italy. silvia@sa.infn.it
authors.forename: Silvia
authors.initials: S
authors.lastname: Scarpetta
authors.forename: Ferdinando
authors.initials: F
authors.lastname: Giacco
authors.forename: Fabrizio
authors.initials: F
authors.lastname: Lombardi
authors.forename: Antonio
authors.initials: A
authors.lastname: de Candia
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D055369:Miniature Postsynaptic Potentials / Q000502:physiology*; D008959:Models, Neurological; D009474:Neurons / Q000502:physiology*; D059227:Postsynaptic Potential Summation / Q000502:physiology*; D013269:Stochastic Processes; D013997:Time Factors