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ROMAGOSA TORRALLARDONA MONTSERRAT_7934114.pdf (1.03 MB)

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Bachelor thesis

Publication date

2023-06

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cc-by-nc-nd (c) Romagosa, 2023
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/201803

Exploring neuronal synchrony through Kuramoto model

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Abstract

The main objective of this study is to analyze the behavior of a neuronal population described by the Kuramoto’s model, in which a group of neurons is viewed as an oscillator that interacts with other groups, totaling 100 groups. Two different spatial distributions of the oscillators were studied: homogeneous distribution on a two-dimensional space and random distribution along parallel tracks. We observed that the parameters that influence the most the system’s dynamics are the coupling strength between oscillators and their typical distance for connectivity. Both parameters may shape oscillators that either activate in small groups or fully synchronize.

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Treballs Finals de Grau de Física, Facultat de Física, Universitat de Barcelona, Curs: 2023, Tutor: Jordi Soriano Fradera

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Model de Kuramoto, Sincronia neuronal, Treballs de fi de grau

Subject (English)

Kuramoto model, Neural synchrony, Bachelor's theses

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Treballs Finals de Grau (TFG) - Física

Citation

ROMAGOSA TORRALLARDONA, Montserrat. Exploring neuronal synchrony through Kuramoto model. [consulted: 10 of June of 2026]. Available at: https://hdl.handle.net/2445/201803

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