dc.contributor |
Universitat Politècnica de Catalunya. Departament de Física i Enginyeria Nuclear |
dc.contributor |
Pons Rivero, Antonio Javier |
dc.contributor |
García Ojalvo, Jordi |
dc.contributor.author |
Grau Moya, Jordi |
dc.date |
2011-09 |
dc.identifier.uri |
http://hdl.handle.net/2099.1/13705 |
dc.language.iso |
eng |
dc.publisher |
Universitat Politècnica de Catalunya |
dc.rights |
Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights |
info:eu-repo/semantics/openAccess |
dc.rights |
http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject |
Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Sistemes experts |
dc.subject |
Neural networks (Computer science) |
dc.subject |
Computational neuroscience |
dc.subject |
Xarxes neuronals (Informàtica) |
dc.subject |
Neurociència computacional |
dc.title |
Integration of the information in complex neural networks with noise |
dc.type |
info:eu-repo/semantics/bachelorThesis |
dc.description.abstract |
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. |