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Authors: Mario Salerno ; Gianluca Susi and Alessandro Cristini

Affiliation: Rome University at Tor Vergata, Italy

ISBN: 978-989-8425-36-2

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.

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Paper citation in several formats:
Salerno, M.; Susi, G.; Susi, G. and Cristini, A. (2011). ACCURATE LATENCY CHARACTERIZATION FOR VERY LARGE ASYNCHRONOUS SPIKING NEURAL NETWORKS.In Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms - Volume 1: BIOINFORMATICS, (BIOSTEC 2011) ISBN 978-989-8425-36-2, pages 116-124. DOI: 10.5220/0003134601160124

@conference{bioinformatics11,
author={Mario Salerno. and Gianluca Susi. and Gianluca Susi. and Alessandro Cristini.},
title={ACCURATE LATENCY CHARACTERIZATION FOR VERY LARGE ASYNCHRONOUS SPIKING NEURAL NETWORKS},
booktitle={Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms - Volume 1: BIOINFORMATICS, (BIOSTEC 2011)},
year={2011},
pages={116-124},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003134601160124},
isbn={978-989-8425-36-2},
}

TY - CONF

JO - Proceedings of the International Conference on Bioinformatics Models, Methods and Algorithms - Volume 1: BIOINFORMATICS, (BIOSTEC 2011)
TI - ACCURATE LATENCY CHARACTERIZATION FOR VERY LARGE ASYNCHRONOUS SPIKING NEURAL NETWORKS
SN - 978-989-8425-36-2
AU - Salerno, M.
AU - Susi, G.
AU - Susi, G.
AU - Cristini, A.
PY - 2011
SP - 116
EP - 124
DO - 10.5220/0003134601160124

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