Integration of the information in complex neural networks with noise
Tipus de documentProjecte/Treball Final de Carrera
Data2011-09
Condicions d'accésAccés obert
Llevat que s'hi indiqui el contrari, els
continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
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Reconeixement-NoComercial-SenseObraDerivada 3.0 Espanya
Descripció
This document is divided in three parts:
In Part I, "Technical information", we specify the justification of the study, the
state of the art, the scope of the research and the required specifications.
In Part II, "Complex networks and noise in neuroscience: an introduction", we
introduce the basic neuroscience concepts to understand the work of this project,
explaining, for example, the types of models used to represent neural networks.
We explain what is a neuron and which considerations we have in mind to simplify
its behavior considering that they are perturbed by noise. Furthermore, complex
networks and mathematical concepts to characterize them and to analyze them
will be exposed. And, finally, we explain the stochastic resonance phenomenon, in
which we will focus our dynamical study, and its advantages.
In Part III, "Numerical methods and results", we describe the main characteristics
of the program developed to do the calculations and we expose all the results
obtained, for small to large networks. To conclude the project, we finish with the
conclusions and further work.
In the last part, the Appendices, we provide the source code of the program
developed and the study costs.
MatèriesNeural networks (Computer science), Computational neuroscience, Xarxes neuronals (Informàtica), Neurociència computacional
TitulacióENGINYERIA INDUSTRIAL (Pla 2003)
Fitxers | Descripció | Mida | Format | Visualitza |
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PFCMemoria.pdf | Memòria | 2,633Mb | Visualitza/Obre | |
DinA3results.pdf | Annex | 11,33Mb | Visualitza/Obre |