Oscillatory Model of Neuromorphic Processors by Embedding Orthogonal Filters

Wieslaw Citko, Wieslaw Sienko

2014

Abstract

The purpose of this article is to present a model of the computational intelligence system based on a network of coupled phase oscillators. The structure of such a model consists of a net of phase-locked loops (PLL) and orthogonal filters based on a Hamiltonian neural network embedded in this net.

Paper Citation

in Harvard Style

Citko W. and Sienko W. (2014). Oscillatory Model of Neuromorphic Processors by Embedding Orthogonal Filters . In Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2014) ISBN 978-989-758-054-3, pages 328-333. DOI: 10.5220/0005156603280333

in Bibtex Style

@conference{ncta14,
author={Wieslaw Citko and Wieslaw Sienko},
title={Oscillatory Model of Neuromorphic Processors by Embedding Orthogonal Filters},
booktitle={Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2014)},
year={2014},
pages={328-333},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005156603280333},
isbn={978-989-758-054-3},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2014)
TI - Oscillatory Model of Neuromorphic Processors by Embedding Orthogonal Filters
SN - 978-989-758-054-3
AU - Citko W.
AU - Sienko W.
PY - 2014
SP - 328
EP - 333
DO - 10.5220/0005156603280333