Light package for simulation and connectivity estimation using the multivariate Ornstein-Uhlenbeck process (MOU)
This Python library relies on the MOU process to simulate network activity and estimate connectivity from observed activity (Gilson et al. PLoS Comput Biol 2016; Gilson et al Net Neurosci 2020).
There is no more minimum bound imposed on the estimated weights by default. If you want to estimate positive weights, use min_C=0 in the fit method!
The installer pip comes with Anaconda and most Python distribution. Just run:
$ pip install git+https://github.com/mb-BCA/pyMOU.git@master
Check the Python notebooks in examples.