In this paper, a work on spiking neural networks based on a model of a kind of Leaky Integrate-and-Fire (LIF) neuron with latency is presented. Efficient simulations are carried out through an ad hoc event-driven approach, highlighting some particular effects of synch rony in a simple feedforward network topology. These results are consistent with literature results and, thanks to the implementation of the biologically plausible latency effect in the model, new results have emerged from the simulations. The authors plan to apply these results in the near future to applications in which this kind of neural networks and Digital Signal Processing (DSP) applications can be merged to obtain powerful nonlinear DSP techniques. In the plan of the authors is also the definition of a hardware prototype of the network based on analog/digital techniques. © 2013 IEEE.

Cardarilli, G.C., Cristini, A., Di Nunzio, L., Re, M., Salerno, M., & Susi, G. (2013). Spiking neural networks based on LIF with latency: Simulation and synchronization effects. In Conference Record - Asilomar Conference on Signals, Systems and Computers (pp.1838-1842). Piscataway - NJ : IEEE Computer Society [10.1109/ACSSC.2013.6810620].

Spiking neural networks based on LIF with latency: Simulation and synchronization effects

CARDARILLI, GIAN CARLO;DI NUNZIO, LUCA;RE, MARCO;SALERNO, MARIO;SUSI, GIANLUCA
2013-11

Abstract

In this paper, a work on spiking neural networks based on a model of a kind of Leaky Integrate-and-Fire (LIF) neuron with latency is presented. Efficient simulations are carried out through an ad hoc event-driven approach, highlighting some particular effects of synch rony in a simple feedforward network topology. These results are consistent with literature results and, thanks to the implementation of the biologically plausible latency effect in the model, new results have emerged from the simulations. The authors plan to apply these results in the near future to applications in which this kind of neural networks and Digital Signal Processing (DSP) applications can be merged to obtain powerful nonlinear DSP techniques. In the plan of the authors is also the definition of a hardware prototype of the network based on analog/digital techniques. © 2013 IEEE.
Asilomar Conference on Signals, Systems and Computers
Asilomar, CA, USA
2013
IEEE
Rilevanza internazionale
contributo
nov-2013
Settore ING-INF/01 - Elettronica
eng
Computer simulation; Electric network topology; Intelligent agents; Jitter; Signal processing
http://www.scopus.com/inward/record.url?eid=2-s2.0-84901268650&partnerID=40&md5=1f36d9f83cedda8e2022b74b173f60ad
Intervento a convegno
Cardarilli, G.C., Cristini, A., Di Nunzio, L., Re, M., Salerno, M., & Susi, G. (2013). Spiking neural networks based on LIF with latency: Simulation and synchronization effects. In Conference Record - Asilomar Conference on Signals, Systems and Computers (pp.1838-1842). Piscataway - NJ : IEEE Computer Society [10.1109/ACSSC.2013.6810620].
Cardarilli, Gc; Cristini, A; DI NUNZIO, L; Re, M; Salerno, M; Susi, G
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2108/105941
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