Using Neural Networks to Simulate the Alzheimer's Disease

Monteiro, Julio L.R. and Lobo Netto, Marcio and Andina de la Fuente, Diego and Ropero Peláez, Javier (2008). Using Neural Networks to Simulate the Alzheimer's Disease. In: "World Automation Congress. WAC 2008", 28/09/2008-02/10/2008, Waikoloa, Hawaii, EEUU. ISBN 978-1-889335-38-4. pp. 1-6.

Description

Title: Using Neural Networks to Simulate the Alzheimer's Disease
Author/s:
  • Monteiro, Julio L.R.
  • Lobo Netto, Marcio
  • Andina de la Fuente, Diego
  • Ropero Peláez, Javier
Item Type: Presentation at Congress or Conference (Article)
Event Title: World Automation Congress. WAC 2008
Event Dates: 28/09/2008-02/10/2008
Event Location: Waikoloa, Hawaii, EEUU
Title of Book: Automation Congress, 2008. WAC 2008. World
Date: 2008
ISBN: 978-1-889335-38-4
Subjects:
Freetext Keywords: Artificial neural networks, computer simulation, alzheimer's disease, calcium hypothesis, neural plasticity, MatLAB.
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Señales, Sistemas y Radiocomunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Making use of biologically plausible artificial neural networks that implement Grossberg’s presynaptic learning rule, we simulate the possible effects of calcium dysregulation in the neuron’s activation function, to represent the most accepted model of Alzheimer's Disease: the calcium dysregulation hypothesis. According to Cudmore and Turrigiano calcium dysregulation alters the shifting dynamic of the neuron’s activation function (intrinsic plasticity). We propose that this alteration might affect the stability of synaptic weights in which memories are stored. The results of the simulation supported the theoretical hypothesis, implying that the emergence of Alzheimer's disease's symptoms such as memory loss and learning problems might be correlated to intrinsic neuronal plasticity impairment due to calcium dysregulation.

More information

Item ID: 3695
DC Identifier: http://oa.upm.es/3695/
OAI Identifier: oai:oa.upm.es:3695
Official URL: http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?reload=true&punumber=4681917
Deposited by: Memoria Investigacion
Deposited on: 13 Jul 2010 08:00
Last Modified: 20 Apr 2016 13:11
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