loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Author: Dalius Krunglevicius

Affiliation: Vilnius University, Lithuania

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 34.239.150.167

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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 (IJCCI 2011) - NCTA; ISBN 978-989-8425-84-3, SciTePress, 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 (IJCCI 2011) - NCTA},
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 (IJCCI 2011) - NCTA
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
PB - SciTePress