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Author: Dalius Krunglevicius

Affiliation: Vilnius University, Lithuania

ISBN: 978-989-8425-84-3

Keyword(s): Artificial neural networks, Spike timing-dependent plasticity, STDP, Hebbian learning, Temporal coding, Neuroscience.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Computational Neuroscience ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Neural Networks ; Neurocomputing ; Neuroinformatics and Bioinformatics ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Supervised and Unsupervised Learning ; Theory and Methods

Abstract: It has been demonstrated, that spike-timing-dependent plasticity (STDP) learning rule can be applied to train neuron to become selective to a spatiotemporal spike pattern. In this paper, we propose a model of neural network that is capable of memorizing prolonged sequences of different spike patterns and learn aggregated data in a larger temporal window.

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Paper citation in several formats:
Krunglevicius, D. (2011). NEURAL PROCESSING OF LONG LASTING SEQUENCES OF TEMPORAL CODES - Model of Artificial Neural Network based on a Spike Timing-dependant Learning Rule.In Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2011) ISBN 978-989-8425-84-3, pages 196-204. DOI: 10.5220/0003681401960204

@conference{ncta11,
author={Dalius Krunglevicius.},
title={NEURAL PROCESSING OF LONG LASTING SEQUENCES OF TEMPORAL CODES - Model of Artificial Neural Network based on a Spike Timing-dependant Learning Rule},
booktitle={Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2011)},
year={2011},
pages={196-204},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003681401960204},
isbn={978-989-8425-84-3},
}

TY - CONF

JO - Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2011)
TI - NEURAL PROCESSING OF LONG LASTING SEQUENCES OF TEMPORAL CODES - Model of Artificial Neural Network based on a Spike Timing-dependant Learning Rule
SN - 978-989-8425-84-3
AU - Krunglevicius, D.
PY - 2011
SP - 196
EP - 204
DO - 10.5220/0003681401960204

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