Skip to main content
Ctrl+K

mne-plsc documentation

  • Tutorials
  • Model fitting
  • Utility functions
  • Classes
  • Tutorials
  • Model fitting
  • Utility functions
  • Classes

Section Navigation

  • Input data formats
  • Mean-centred ERP analysis
  • Behaviour PLS for ERP data
  • Multi-subject analysis
  • Within-participant behaviour PLS
  • Mean-centred analysis of spectral data
  • Time-frequency mean-centred analysis
  • Mean-centred analysis of surface source-space data
  • Mean-centred analysis of volume source data
  • Visualizing clusters in sensor space
  • Mean-centred PLS vs effect-matched-spatial filtering (EMS)
  • Tutorials

Tutorials#

Below are a set of tutorials on how to use mne-plsc to analyze data that ships with MNE-Python.

  • Input data formats
  • Mean-centred ERP analysis
  • Behaviour PLS for ERP data
  • Multi-subject analysis
  • Within-participant behaviour PLS
  • Mean-centred analysis of spectral data
  • Time-frequency mean-centred analysis
  • Mean-centred analysis of surface source-space data
  • Mean-centred analysis of volume source data
  • Visualizing clusters in sensor space
  • Mean-centred PLS vs effect-matched-spatial filtering (EMS)

previous

mne-plsc

next

Input data formats

Show Source

© Copyright 2026, Isaac Kinley.

Created using Sphinx 9.0.4.

Built with the PyData Sphinx Theme 0.18.0.