Spiking Neural Network Self-configuration for Temporal Pattern Recognition Analysis

Authors:
Josep L. Rosselló;Ivan Paúl;Vincent Canals;Antoni Morro
Affiliations:
Electronic Systems Group, Physics Department, Universitat de les Illes Balears (UIB), Palma de Mallorca, Spain 07122;Electronic Systems Group, Physics Department, Universitat de les Illes Balears (UIB), Palma de Mallorca, Spain 07122;Electronic Systems Group, Physics Department, Universitat de les Illes Balears (UIB), Palma de Mallorca, Spain 07122;Electronic Systems Group, Physics Department, Universitat de les Illes Balears (UIB), Palma de Mallorca, Spain 07122
Venue:
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part I
Year:
2009

Citing 2
Cited 0

Spiking Neuron Models: An Introduction

Spiking Neuron Models: An Introduction
Solving graph algorithms with networks of spiking neurons

IEEE Transactions on Neural Networks

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Abstract

In this work we provide design guidelines for the hardware implementation of Spiking Neural Networks. The proposed methodology is applied to temporal pattern recognition analysis. For this purpose the networks are trained using a simplified Genetic Algorithm. The proposed solution is applied to estimate the processing efficiency of Spiking Neural Networks.