Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Using Neural Networks to Simulate the Alzheimer's Disease
Year:2008
Research Areas
  • Processing and signal analysis
Information
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.
International
Si
Congress
World Automation Congress, WAC 2008
960
Place
Waikoloa, HI, EEUU
Reviewers
Si
ISBN/ISSN
978-1-889335-38-4
Start Date
28/09/2008
End Date
02/10/2008
From page
1
To page
6
Proc. of the World Automation Congress, WAC 2008
Participants
  • Autor: JL Monteiro (University of São Paulo, Brazil)
  • Autor: Javier Ropero Peláez (University of São Paulo, Brazil)
  • Autor: Diego Andina De la Fuente (UPM)
  • Autor: Marcio Lobo Netto (University of São Paulo, Brazil)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Automatización en Señal y Comunicaciones (GASC)
  • Departamento: Señales, Sistemas y Radiocomunicaciones
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