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Author: Abir Alharbi

Affiliation: King Saud University, Saudi Arabia

ISBN: 978-989-758-054-3

Keyword(s): Hopfield Neural Networks, Point Source Diffusion Equation, Finite Difference, Extracellular Space.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Computational Neuroscience ; Computer-Supported Education ; Domain Applications and Case Studies ; Fuzzy Systems ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Industrial, Financial and Medical Applications ; Methodologies and Methods ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Theory and Methods

Abstract: Many therapies for drug delivery to the brain are based on diffusion, and diffusion in this extracellular space is based on micro-techniques that can be modelled with classical differential equations such as the point source diffusion equation. In this paper an energy function is constructed using a finite-difference approximation to the governing diffusion equation and then minimized by a Hopfield neural network. The synergy of Hopfield neural networks with finite difference approximation is promising. The neural network approach is capable of giving insight to the complex brain activity better than any other classical numerical method and the parallelism nature of the Hopfield neural networks approach is easier to implement on fast parallel computers and this will make them faster than the traditional methods for modelling this complex problem. Moreover, the effect of the involved parameters on the diffusion distribution and drug delivery in the ECS is investigated.

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Paper citation in several formats:
Alharbi, A. (2014). Using a Hopfield Iterative Neural Network to Explain Diffusion in the Brain’s Extracellular Space Structure .In Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2014) ISBN 978-989-758-054-3, pages 97-104. DOI: 10.5220/0005029300970104

@conference{ncta14,
author={Abir Alharbi.},
title={Using a Hopfield Iterative Neural Network to Explain Diffusion in the Brain’s Extracellular Space Structure },
booktitle={Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2014)},
year={2014},
pages={97-104},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005029300970104},
isbn={978-989-758-054-3},
}

TY - CONF

JO - Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: NCTA, (IJCCI 2014)
TI - Using a Hopfield Iterative Neural Network to Explain Diffusion in the Brain’s Extracellular Space Structure
SN - 978-989-758-054-3
AU - Alharbi, A.
PY - 2014
SP - 97
EP - 104
DO - 10.5220/0005029300970104

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