Open Access
2014 A Note on Some Numerical Approaches to Solve a θ˙ Neuron Networks Model
Samir Kumar Bhowmik, Feras M. Al Faqih, Md. Nazmul Islam
Abstr. Appl. Anal. 2014: 1-7 (2014). DOI: 10.1155/2014/863842

Abstract

Space time integration plays an important role in analyzing scientific and engineering models. In this paper, we consider an integrodifferential equation that comes from modeling θ˙ neuron networks. Here, we investigate various schemes for time discretization of a theta-neuron model. We use collocation and midpoint quadrature formula for space integration and then apply various time integration schemes to get a full discrete system. We present some computational results to demonstrate the schemes.

Citation

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Samir Kumar Bhowmik. Feras M. Al Faqih. Md. Nazmul Islam. "A Note on Some Numerical Approaches to Solve a θ˙ Neuron Networks Model." Abstr. Appl. Anal. 2014 1 - 7, 2014. https://doi.org/10.1155/2014/863842

Information

Published: 2014
First available in Project Euclid: 2 October 2014

zbMATH: 07023217
MathSciNet: MR3198266
Digital Object Identifier: 10.1155/2014/863842

Rights: Copyright © 2014 Hindawi

Vol.2014 • 2014
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