Tipus de document
Treball de fi de grauData de publicació
Llicència de publicació
Si us plau utilitzeu sempre aquest identificador per citar o enllaçar aquest document: https://hdl.handle.net/2445/223131
Dynamics and functional connectivity in a network derived from anatomical data of the mouse brain
Títol de la revista
Autors
Director/Tutor
ISSN de la revista
Títol del volum
Recurs relacionat
Resum
This project studies the collective dynamics of a neural network constructed from experimental connectivity data of the mouse brain. The Izhikevich model has been used to simulate the dynamics of neurons under different noise and excitatory strength conditions. The analysis has focused on how these parameters affect the global synchronization of the network, as well as on the comparison of three structural configurations: the original one, one with randomly redistributed connections, and another one with an eliminated module of the original network. From the activity data, functional matrices have been generated, and measures such as mean degree, global efficiency, and degree of modularity have been calculated. The results show how the structural properties
influence the functional organization of the network and its synchronization capacity
Descripció
Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2025, Tutors: Linus Manubens Gil, Jordi Soriano Fradera
Matèries (anglès)
Citació
Col·leccions
Citació
MONISTROL I MIMÓ, Maria. Dynamics and functional connectivity in a network derived from anatomical data of the mouse brain. [consulted: 14 of August of 2026]. Available at: https://hdl.handle.net/2445/223131