Robust modelling of biological neuroregulators

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Title: Robust modelling of biological neuroregulators
Authors: Ruiz-Fernandez, Daniel | García-Chamizo, Juan Manuel | Maciá Pérez, Francisco | Soriano Payá, Antonio
Research Group/s: GrupoM. Redes y Middleware | Ingeniería Bioinspirada e Informática para la Salud | Informática Industrial y Redes de Computadores
Center, Department or Service: Universidad de Alicante. Departamento de Tecnología Informática y Computación
Keywords: Biological neuroregulators | Robust modelling
Knowledge Area: Arquitectura y Tecnología de Computadores
Issue Date: 2005
Publisher: IEEE
Citation: RUIZ FERNÁNDEZ, Daniel, et al. "Robust modelling of biological neuroregulators". En: IEEE-EMBS 2005, 27th Annual International Conference of the Engineering in Medicine and Biology Society, 2005 : Shanghai, 1-4 Sept. 2005. Piscataway, N.J. : IEEE, 2005. ISBN 0-7803-8741-4, pp. 2981-2984
Abstract: The modelling of biological neuroregulated systems is usually complex because of their non-structured and distributed architecture. Software agents are a very useful tool to use in the modelling of this kind of systems, allowing increasing the model with characteristics which are not present in the biological equivalent. This work proposes a model of a neural regulator incorporating modularity, flexibility and scalability. The main approach has been the modelling of each neural centre as an agent, incorporating the distributed behaviour of the system. On the other hand, the model can solve local dysfunctions in the centres using extra diagnostic information. The neural regulator of the lower urinary tract has been implemented as an example. We have developed several experiments adding artificial dysfunctions to the model and comparing the results with a normal functioning of the model.
ISBN: 0-7803-8741-4
DOI: 10.1109/IEMBS.2005.1617100
Language: eng
Type: info:eu-repo/semantics/bookPart
Rights: © Copyright 2005 IEEE
Peer Review: si
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