The Brain Networks Group and Neurophysics Department of the Max-Planck Institute for Human Cognitive and Brain Sciences Leipzig released an open-source Python software for neural network and dynamical systems modeling:

PyRates (https://github.com/pyrates-neuroscience/PyRates, https://www.cbs.mpg.de/departments/neurophysics/software/pyrates)

Main features of PyRates are:

- Intuitive and re-usable model definitions via YAML files or purely in Python

- networkx representations of each model allows to compute graph theoretic measurements on the fly (https://networkx.github.io/)

- Efficient numerical simulations via scipy, numpy and tensorflow

- evolutionary model parameter optimization

- large-scale parameter sweeps on single machines and compute clusters

- parameter continuation and bifurcation analysis via auto-07p

For a full list of features and their documentation, check out the PyRates documentation at https://pyrates.readthedocs.io/en/latest/.

For feedback and contributions, contact us via our GitHub repository: https://github.com/pyrates-neuroscience/PyRates.

Install instructions can be found there as well!