A Note on Some Numerical Approaches to Solve a θ˙ Neuron Networks Model

Joint Authors

Al Faqih, Feras M.
Bhowmik, Samir Kumar
Islam, Md. Nazmul

Source

Abstract and Applied Analysis

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-7, 7 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-04-17

Country of Publication

Egypt

No. of Pages

7

Main Subjects

Mathematics

Abstract EN

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.

American Psychological Association (APA)

Bhowmik, Samir Kumar& Al Faqih, Feras M.& Islam, Md. Nazmul. 2014. A Note on Some Numerical Approaches to Solve a θ˙ Neuron Networks Model. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1034057

Modern Language Association (MLA)

Bhowmik, Samir Kumar…[et al.]. A Note on Some Numerical Approaches to Solve a θ˙ Neuron Networks Model. Abstract and Applied Analysis No. 2014 (2014), pp.1-7.
https://search.emarefa.net/detail/BIM-1034057

American Medical Association (AMA)

Bhowmik, Samir Kumar& Al Faqih, Feras M.& Islam, Md. Nazmul. A Note on Some Numerical Approaches to Solve a θ˙ Neuron Networks Model. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-7.
https://search.emarefa.net/detail/BIM-1034057

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1034057