_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
python-mne-connectivity 0.9.0
Propagated dependencies: python-h5netcdf@1.3.0 python-joblib@1.5.3 python-mne@1.13.2 python-netcdf4@1.7.4 python-numpy@2.4.6 python-pandas@3.0.3 python-scikit-learn@1.9.0 python-scipy@1.17.1 python-tqdm@4.67.1 python-xarray@2026.04.0
Channel: guix-science
Location: guix-science/packages/electrophysiology.scm (guix-science packages electrophysiology)
Home page: https://mne.tools/mne-connectivity/stable/index.html
Licenses: Modified BSD
Build system: pyproject
Synopsis: Connectivity data analysis with MNE
Description:

MNE-Connectivity is an open-source Python package for connectivity and related measures of MEG, EEG, or iEEG data built on top of the MNE-Python API. It includes modules for data input/output, visualization, common connectivity analysis, and post-hoc statistics and processing.

Total packages: 1