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1. NetDynFlow NetDynFlow Public

   A package to study complex networks based on the temporal evolution of their Dynamic Communicability and Flow.

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2. notebooks_review2019 notebooks_review2019 Public

   These Python notebooks reproduce some figures in the following preprint using the libraries pyMOU and NetDynFlow: https://www.biorxiv.org/content/10.1101/531830v2

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3. pyMOU pyMOU Public

   Light package for connectivity estimation and analysis of neuroimaging data (e.g. fMRI). It relies on the multivariate Ornstein-Uhlenbeck process (MOU).

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4. EITN2020_BrainConn_Tutorial EITN2020_BrainConn_Tutorial Public

   Materials and Notebooks for the tutorial "Analysis of Brain Connectivity" to be held during the EITN Spring School in Computational Neuroscience, Paris, March 4 - 13, 2020.

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5. SiReNetA SiReNetA Public

   Stimulus-Response Network Analysis

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6. SiReNetA_Tutorials SiReNetA_Tutorials Public

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