MNE-Python 1.7.1-foss-2023a

Open-source Python software for exploring, visualizing, and analyzing human neurophysiological data: MEG, EEG, sEEG, ECoG, and more.

Accessing MNE-Python 1.7.1-foss-2023a

To load the module for MNE-Python 1.7.1-foss-2023a please use this command on the BEAR systems (BlueBEAR and BEAR Cloud VMs):

📋 module load bear-apps/2023a
module load MNE-Python/1.7.1-foss-2023a

BEAR Apps Version

2023a

Architectures

EL8-cascadelakeEL8-icelakeEL8-sapphirerapids

The listed architectures consist of two part: OS-CPU. The OS used is represented by EL and there are several different processor (CPU) types available on BlueBEAR. More information about the processor types on BlueBEAR is available on the BlueBEAR Job Submission page.

Extensions

  • deepdiff 6.7.1
  • Deprecated 1.2.14
  • dipy 1.8.0
  • h5io 0.2.1
  • lazy_loader 0.3
  • mffpy 0.8.0
  • mne 1.7.1
  • mne_bids 0.15.0
  • ordered-set-4.1.0
  • pymatreader 0.0.32
  • python-picard-0.7
  • pyvista 0.43.3
  • scooby 0.9.2
  • traitlets 5.9.0
  • trx-python-0.2.9
  • wrapt 1.16.0
  • xmltodict 0.13.0

More Information

For more information visit the MNE-Python website.

Dependencies

This version of MNE-Python has a direct dependency on: foss/2023a h5py/3.9.0-foss-2023a imageio/2.33.1-gfbf-2023a matplotlib/3.7.2-gfbf-2023a Nilearn/0.10.3-gfbf-2023a numba/0.58.1-foss-2023a OpenMEEG/2.5.7-foss-2023a Python/3.11.3-GCCcore-12.3.0 Python-bundle-PyPI/2023.06-GCCcore-12.3.0 scikit-learn/1.3.1-gfbf-2023a SciPy-bundle/2023.07-gfbf-2023a statsmodels/0.14.1-gfbf-2023a tqdm/4.66.1-GCCcore-12.3.0 VTK/9.3.0-foss-2023a

Other Versions

These versions of MNE-Python are available on the BEAR systems (BlueBEAR and BEAR Cloud VMs). These will be retained in accordance with our Applications Support and Retention Policy.

Last modified on 22nd July 2024