Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/59946
Title: Biological neural networks: an application to odor information processing
Author: Pruna Morales, Raquel
Director: Gutiérrez Gálvez, Agustín
Keywords: Xarxes neuronals
Olfacte
Tesis
Neural networks
Smell
Theses
Issue Date: Jun-2014
Abstract: Traditionally, there has been a lot of research on how the brain manages visual and auditory inputs, but not that much attention has been devoted to the olfactory sensory system due, in part, to the complex nature of volatile organic compounds (VOCs). The aim of this project is to understand and build a computational neural model of the first stage of the olfactory pathway: the glomerular layer. Some experts in the field, supported by experimental evidence, point at this first stage as the neural location where an important aspect of odor information processing takes place: odor segregation. Our working hypothesis states that this input layer performs normalization and contrast and concentration enhancement over odorants before the odorant information is conveyed to deeper olfactory structures for detection. By performing an experiment on the computed neural network, we will be able to determine whether and how this odor segregation occurs. This is achieved by statistical analysis of the structure of the high-dimensional output space, understood as the spiking frequency and synchronization of glomerular neurons firing patterns.
Note: Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Any: 2014, Tutor: Agustí Gutiérrez
URI: http://hdl.handle.net/2445/59946
Appears in Collections:Treballs Finals de Grau (TFG) - Física

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