Exploring neuronal synchrony through Kuramoto model

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.