Tool to numerically solve and analyse simplicial Kuramoto models.
-
Updated
May 31, 2023 - Python
Tool to numerically solve and analyse simplicial Kuramoto models.
Numerical integration of the Kuramoto Model in Python 3
A series of simulation codes used to emulate quantum-like networks in the simulation of emergent adaptive behavior, such as network synchronization, and relate the nature of the coupled harmonic oscillators with non-local behavior and chimera states in systems of quantum particles. Coding Used is based on mathematical modelling of transport in q…
a handful of custom Max8 abstractions for audio, video and data processing.
The main goal of StDoG is to provide a package which can be used to study dynamical and structural properties (like spectra) on graphs with a large number of vertices.
This is a python implementation of Kuramoto model with adaptive rewiring. Adaptive rewiring is meant to simulate the ebb and flow of social interactions.
This repository contains the code for training and visualizing the fully-differentiable Kuramoto model, "KuraNet".
Matlab code for running the NRPS, RAPS, FEPS and nonlinear Kuramoto models: Models for electric grids that capture the dynamics of synchronous machines and VSMs.
Kuramoto - Sakaguchi Model Applet
Simple stochastic integrator for the mean field Kuramoto model.
An animation of synchronization of sine functions
Multiagent Persistent Monitoring via Time-Inverted Kuramoto Dynamics
A python/CUDA pkg which solves numerically the kuramoto model through the Heun's method
[AISTATS 2024] From Coupled Oscillators to Graph Neural Networks: Reducing Over-smoothing via a Kuramoto Model-based Approach
This Python package implements a method for dynamic Bayesian inference of parameters in networks of coupled phase oscillators.
Simple C++ library for the kuramoto model of syncronization of fireflies.
Julia and Auto-07p codes for the paper "From chimeras to extensive chaos in networks of heterogeneous Kuramoto oscillator populations", by Pol Floriach, Jordi Garcia-Ojalvo, and Pau Clusella.
This is a working repository. Do not expect any clean codes.
Add a description, image, and links to the kuramoto-model topic page so that developers can more easily learn about it.
To associate your repository with the kuramoto-model topic, visit your repo's landing page and select "manage topics."