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
