Computational study of neuronal networks with spatial constraints by means of the Izhikevich model

Treballs Finals de Màster en Física dels Sistemes Complexos i Biofísica, Facultat de Física, Universitat de Barcelona. Curs: 2021-2022. Tutor: Jordi Soriano Fradera

Detalles Bibliográficos
Autor: Güell Paule, Guillem
Tipo de recurso: tesis de maestría
Fecha de publicación:2022
País:España
Institución:Universidad de Barcelona
Repositorio:Dipòsit Digital de la UB
OAI Identifier:oai:diposit.ub.edu:2445/189159
Acceso en línea:https://hdl.handle.net/2445/189159
Access Level:acceso abierto
Palabra clave:Xarxes neuronals
Mètodes de simulació
Treballs de fi de màster
Neural networks
Simulation methods
Master's theses
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spelling Computational study of neuronal networks with spatial constraints by means of the Izhikevich modelGüell Paule, GuillemXarxes neuronalsMètodes de simulacióTreballs de fi de màsterNeural networksSimulation methodsMaster's thesesTreballs Finals de Màster en Física dels Sistemes Complexos i Biofísica, Facultat de Física, Universitat de Barcelona. Curs: 2021-2022. Tutor: Jordi Soriano FraderaA huge effort has been made along the last 20 years to map the detailed structural organisation of neural networks. The main reason behind this effort is to understand the relationship between the structure of the network and its dynamics or functional traits. To advance in this quest, numerical simulations have emerged to help exploring the relation between structure and function. Here we used the Izhikevich model to simulate neuronal networks with spatial constraints. We launched numerical simulations of 1000 neurons in two different modular networks, and mimicking designs reported in experiments. We observed that some information about structure can be glimpsed when the spatial constraints are very strong. In general, however, the properties of the underlying structural network differ greatly from those obtained from the simulations, indicating that the assessment of structural connectivity from just dynamics is not possible. We also applied damage to the networks, and observed that targeted attacks strongly affects the activity and functional traits of the networks under studySoriano i Fradera, Jordi2022info:eu-repo/semantics/masterThesisapplication/pdfhttps://hdl.handle.net/2445/189159Màster Oficial - Física dels Sistemes Complexos i Biofísicareponame:Dipòsit Digital de la UBinstname:Universidad de BarcelonaIngléscc-by-nc-nd (c) GÜell, 20222http://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:diposit.ub.edu:2445/1891592026-05-27T06:46:51Z
dc.title.none.fl_str_mv Computational study of neuronal networks with spatial constraints by means of the Izhikevich model
title Computational study of neuronal networks with spatial constraints by means of the Izhikevich model
spellingShingle Computational study of neuronal networks with spatial constraints by means of the Izhikevich model
Güell Paule, Guillem
Xarxes neuronals
Mètodes de simulació
Treballs de fi de màster
Neural networks
Simulation methods
Master's theses
title_short Computational study of neuronal networks with spatial constraints by means of the Izhikevich model
title_full Computational study of neuronal networks with spatial constraints by means of the Izhikevich model
title_fullStr Computational study of neuronal networks with spatial constraints by means of the Izhikevich model
title_full_unstemmed Computational study of neuronal networks with spatial constraints by means of the Izhikevich model
title_sort Computational study of neuronal networks with spatial constraints by means of the Izhikevich model
dc.creator.none.fl_str_mv Güell Paule, Guillem
author Güell Paule, Guillem
author_facet Güell Paule, Guillem
author_role author
dc.contributor.none.fl_str_mv Soriano i Fradera, Jordi
dc.subject.none.fl_str_mv Xarxes neuronals
Mètodes de simulació
Treballs de fi de màster
Neural networks
Simulation methods
Master's theses
topic Xarxes neuronals
Mètodes de simulació
Treballs de fi de màster
Neural networks
Simulation methods
Master's theses
description Treballs Finals de Màster en Física dels Sistemes Complexos i Biofísica, Facultat de Física, Universitat de Barcelona. Curs: 2021-2022. Tutor: Jordi Soriano Fradera
publishDate 2022
dc.date.none.fl_str_mv 2022
dc.type.none.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
dc.identifier.none.fl_str_mv https://hdl.handle.net/2445/189159
url https://hdl.handle.net/2445/189159
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv cc-by-nc-nd (c) GÜell, 20222
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv cc-by-nc-nd (c) GÜell, 20222
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv Màster Oficial - Física dels Sistemes Complexos i Biofísica
reponame:Dipòsit Digital de la UB
instname:Universidad de Barcelona
instname_str Universidad de Barcelona
reponame_str Dipòsit Digital de la UB
collection Dipòsit Digital de la UB
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,301629

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