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Model-based Brain Connectivity Analysis

model-based Brain Connectivity Analysis

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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.

    Python 11 4

  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

    Jupyter Notebook 11 2

  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).

    Python 10 6

  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.

    Jupyter Notebook 5

  5. SiReNetA SiReNetA Public

    Stimulus-Response Network Analysis

    Python 5 1

  6. SiReNetA_Tutorials SiReNetA_Tutorials Public

    Jupyter Notebook 3 1

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