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@mb-BCA Model-based Brain Connectivity Analysis

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    8 repositories

    • NetDynFlow

      Public
      A package to study complex networks based on the temporal evolution of their Dynamic Communicability and Flow.
      Python
      •
      Apache License 2.0
      •4•10•1•0•Updated Jul 23, 2024Jul 23, 2024

    • SiReNetA_Tutorials

      Public
      Jupyter Notebook
      •
      Apache License 2.0
      •1•3•0•1•Updated Jul 2, 2024Jul 2, 2024

    • SiReNetA

      Public
      Stimulus-Response Network Analysis
      Python
      •
      Apache License 2.0
      •1•4•0•0•Updated May 22, 2024May 22, 2024

    • 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
      •
      Apache License 2.0
      •6•7•2•1•Updated Dec 25, 2023Dec 25, 2023

    • 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
      •
      Apache License 2.0
      •2•10•0•0•Updated Feb 28, 2023Feb 28, 2023

    • Notebooks_EC_Collab

      Public
      Showcase Jupyter Notebooks for integration of EC estimation methods in EBRAINS
      Jupyter Notebook
      •
      Apache License 2.0
      •0•0•0•0•Updated Aug 10, 2020Aug 10, 2020

    • 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
      •0•4•0•0•Updated Mar 4, 2020Mar 4, 2020

    • dummy

      Public
      Testbed for Git(Hub) hocus pocus
      Python
      •0•0•0•0•Updated Jan 30, 2020Jan 30, 2020