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Authors: Yevgeniy Bodyanskiy and Artem Dolotov

Affiliation: Kharkiv National University of Radio Electronics, Ukraine

Keyword(s): Self-learning Spiking Neural Network, Spiking Neuron, Lambert W Function, Postsynaptic Potential, Membrane Potential.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Computational Neuroscience ; Enterprise Information Systems ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Neural Network Software and Applications ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Theory and Methods

Abstract: A model of spiking neuron based on the Lambert W function has been proposed. It is shown analytical dependence of spiking neuron firing time on input spikes can be obtained. Though such dependence is rather complex, it still allows of simplifying software implementation of spiking neural networks. It is demonstrated the proposed model software implementation operates faster than one of straightforward propagation of a spike through multiple synapse and soma of spiking neuron.

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Paper citation in several formats:
Bodyanskiy, Y. and Dolotov, A. (2013). A Spiking Neuron Model based on the Lambert W Function. In Proceedings of the 5th International Joint Conference on Computational Intelligence (IJCCI 2013) - NCTA; ISBN 978-989-8565-77-8; ISSN 2184-3236, SciTePress, pages 542-546. DOI: 10.5220/0004631605420546

@conference{ncta13,
author={Yevgeniy Bodyanskiy. and Artem Dolotov.},
title={A Spiking Neuron Model based on the Lambert W Function},
booktitle={Proceedings of the 5th International Joint Conference on Computational Intelligence (IJCCI 2013) - NCTA},
year={2013},
pages={542-546},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004631605420546},
isbn={978-989-8565-77-8},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the 5th International Joint Conference on Computational Intelligence (IJCCI 2013) - NCTA
TI - A Spiking Neuron Model based on the Lambert W Function
SN - 978-989-8565-77-8
IS - 2184-3236
AU - Bodyanskiy, Y.
AU - Dolotov, A.
PY - 2013
SP - 542
EP - 546
DO - 10.5220/0004631605420546
PB - SciTePress