Authors:
Mario Salerno
;
Gianluca Susi
and
Alessandro Cristini
Affiliation:
Rome University at Tor Vergata, Italy
Keyword(s):
Neuron, Spiking Neural Network (SNN), Latency, Event-driven, Plasticity, Threshold, Neuromorphic, Neuronal group selection.
Related
Ontology
Subjects/Areas/Topics:
Agents
;
Algorithms and Software Tools
;
Artificial Intelligence
;
Bioinformatics
;
Biomedical Engineering
;
Computational Intelligence
;
Enterprise Information Systems
;
Information Systems Analysis and Specification
;
Methodologies and Technologies
;
Operational Research
;
Simulation
;
Soft Computing
Abstract:
The simulation problem of very large fully asynchronous Spiking Neural Networks is considered in this paper. To this purpose, a preliminary accurate analysis of the latency time is made, applying classical modelling methods to single neurons. The latency characterization is then used to propose a simplified model, able to simulate large neural networks. On this basis, networks, with up to 100,000 neurons for more than 100,000 spikes, can be simulated in a quite short time with a simple MATLAB program. Plasticity algorithms are also applied to emulate interesting global effects as the Neuronal Group Selection.