Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/125147
Title: Information transmission in complex neural networks
Author: Ojeda Guerrero, Juan José
Director/Tutor: Serrano Moral, Ma. Ángeles (María Ángeles)
Keywords: Xarxes neuronals (Neurobiologia)
Processament humà de la informació
Treballs de fi de grau
Neural networks (Neurobiology)
Human information processing
Bachelor's thesis
Issue Date: Jun-2018
Abstract: Computational neural networks are inspired in the brain structure and designed to mimic its intelligence artificially. In particular, they can be used as a tool to explore information transport and processing among interconnected units forming layers. In this article we study how the structure of the network (number of layers) and the state of the connections (edge weights) affect to the information flow. A computational model, that allows us to simulate neurons' collective behaviour, has been used over different neural networks configurations, analysing the variation of some structure features. Results show a strong dependence between the number of connections and the response of the network. Also, we have found a relationship among the edge weights distribution and the propagation of the information from the input node to the output layer.
Note: Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2018, Tutora: Maria Ángeles Serrano Moral
URI: http://hdl.handle.net/2445/125147
Appears in Collections:Treballs Finals de Grau (TFG) - Física

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