Comparative study of metaheuristics for the curve-fitting problem: modeling neurotransmitter diffusion and synaptic receptor activation

Montes, Jesús and LaTorre de la Fuente, Antonio and Muelas Pascual, Santiago and Merchán Pérez, Ángel and Peña Sánchez, José María (2015). Comparative study of metaheuristics for the curve-fitting problem: modeling neurotransmitter diffusion and synaptic receptor activation. "Abstract and Applied Analysis", v. 2015 ; pp. 1-16. ISSN 1085-3375. https://doi.org/10.1155/2015/708131.

Description

Title: Comparative study of metaheuristics for the curve-fitting problem: modeling neurotransmitter diffusion and synaptic receptor activation
Author/s:
  • Montes, Jesús
  • LaTorre de la Fuente, Antonio
  • Muelas Pascual, Santiago
  • Merchán Pérez, Ángel
  • Peña Sánchez, José María
Item Type: Article
Título de Revista/Publicación: Abstract and Applied Analysis
Date: April 2015
ISSN: 1085-3375
Volume: 2015
Subjects:
Faculty: E.T.S. de Ingenieros Informáticos (UPM)
Department: Arquitectura y Tecnología de Sistemas Informáticos
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Synapses are key elements in the information transmission in the nervous system. Among the different approaches to study them, the use of computational simulations is identified as the most promising technique. Simulations, however, do not provide generalized models of the underlying biochemical phenomena, but a set of observations, or time-series curves, displaying the behavior of the synapse in the scenario represented. Finding a general model of these curves, like a set of mathematical equations, could be an achievement in the study of synaptic behavior. In this paper, we propose an exploratory analysis in which selected curve models are proposed, and state-of-the-art metaheuristics are used and compared to fit the free coefficients of these curves to the data obtained from simulations. Experimental results demonstrate that several models can fit these data, though a deeper analysis from a biological perspective reveals that some are better suited for this purpose, as they represent more accurately the biological process. Based on the results of this analysis, we propose a set ofmathematical equations and a methodology, adequate formodeling several aspects of biochemical synaptic behavior.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainTIN2014-57481-C2-2-RUnspecifiedUnspecifiedNuevos avances en visualización analítica

More information

Item ID: 41391
DC Identifier: http://oa.upm.es/41391/
OAI Identifier: oai:oa.upm.es:41391
DOI: 10.1155/2015/708131
Official URL: http://www.hindawi.com/journals/aaa/2015/708131/
Deposited by: Memoria Investigacion
Deposited on: 18 Oct 2016 08:56
Last Modified: 18 Oct 2016 08:56
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