Modelling the brain with a multilevel Random Geometric Graph

dc.rights.license	CC-BY-NC-ND
dc.contributor.advisor	Bisseling, R.H.
dc.contributor.author	Meijer, I.
dc.date.accessioned	2021-03-12T19:00:17Z
dc.date.available	2021-03-12T19:00:17Z
dc.date.issued	2021
dc.identifier.uri	https://studenttheses.uu.nl/handle/20.500.12932/39114
dc.description.abstract	The brain is a complex network. Recently multiple studies have tried to modelcomplex networks using graph theory. In this thesis we have developed a multi-level Random Geometric Graph to model the human brain. We have includedthe extra property that the probability of a connection declines proportionallyto the distance. Based on our analysis we conclude that this graph has a similarlevel of segregation, but a higher level of integration compared to the real brain. This graph also predicts the properties of deeper levels in the brain, where dataof these levels is not yet available.
dc.description.sponsorship	Utrecht University
dc.format.extent	862293
dc.format.mimetype	application/pdf
dc.language.iso	en
dc.title	Modelling the brain with a multilevel Random Geometric Graph
dc.type.content	Bachelor Thesis
dc.rights.accessrights	Open Access
dc.subject.courseuu	Wiskunde