Dear Computational Neuroscience Community,

I would like to point you to a potentially useful Python Package that might be of interest for your research, especially in the realm dynamical models and synchronization phenomena.

The Kuramoto model is used to study a wide range of systems (for a review on its usage in the Neuroscience, see Breakspear et al. 2010, Generative models of cortical oscillations: neurobiological implications of the Kuramoto model)

"kuramoto": Python implementation of the Kuramoto model.

Code Repository: https://github.com/fabridamicelli/kuramoto
Easy install with `pip install kuramoto`
Example notebooks: https://github.com/fabridamicelli/kuramoto/tree/master/examples
A super concise intro to the model and its behaviour and further references can be found here: https://github.com/fabridamicelli/kuramoto#kuramoto-model-101

As of today, a few people already trust it and the package registers >10K total downloads, ~500/month (pypi.org).

Check it out and any feedback/suggestions/bug reports are more than welcome (simply open an issue: https://github.com/fabridamicelli/kuramoto/issues)

All the best,

Fabrizio Damicelli