_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
python-mne 1.13.2
Dependencies: procps@4.0.3
Propagated dependencies: python-decorator@5.2.1 python-h5io@0.2.5 python-jinja2@3.1.6 python-lazy-loader@0.4 python-matplotlib@3.10.9 python-numpy@2.4.6 python-packaging@26.2 python-pymatreader@1.1.0 python-pooch@1.9.0 python-scipy@1.17.1 python-tqdm@4.67.1
Channel: guix-science
Location: guix-science/packages/electrophysiology.scm (guix-science packages electrophysiology)
Home page: https://mne.tools/stable/index.html
Licenses: Modified BSD
Build system: pyproject
Synopsis: MEG and EEG analysis and visualization
Description:

MNE-Python is an open-source Python package for exploring, visualizing, and analyzing human neurophysiological data such as MEG, EEG, sEEG, ECoG, and more. It includes modules for data input/output, preprocessing, visualization, source estimation, time-frequency analysis, connectivity analysis, machine learning, statistics, and more.

Total packages: 1