Eelbrain 0.40

Open-source Python toolkit for MEG and EEG data analysis, including:

• Mass-univariate permutation tests

• Temporal Response Function estimator for fitting single-trial time series models

• Pipeline for M/EEG group level analysis

• Interactive plots and GUIs for ICA and trial selection

Manual

• Installing
• Getting Started
• Version History
• Publications using Eelbrain
• Development

• Reference
  • Data Classes
  • File I/O
  • Sorting and Reordering
  • NDVar Initializers
  • NDVar Operations
  • Temporal Response Functions
  • Tables
  • Statistics
  • Mass-Univariate Statistics
  • Plotting
  • Plotting Brains
  • GUIs
  • Reports
  • Experiment Pipeline
  • Datasets
  • Configuration
• Examples
  • Data objects
  • Univariate Statistics
  • Mass-Univariate Statistics
  • Plotting
  • Temporal Response Functions
• Recipes
  • Plots for Publication
• The MneExperiment Pipeline
  • Introduction
  • Step by Step
  • Example
  • Experiment Definition
  • State Parameters

See also

• GitHub: Wiki, Discussions and Issues

• Mailing list for announcements

• Eelbrain on the Python Package Index

To cite Eelbrain, find the appropriate DOI. Eelbrain relies on NumPy, Numba, Cython, SciPy, Matplotlib, MNE-Python, PySurfer, WxPython, and incorporates icons from the Tango Desktop Project.

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Eelbrain is maintained by Christian Brodbeck at McMaster University. Current funding: NSF 2207770 (2023-); NSF 2043903 (2021-); Past funding: NSF 1754284 (2020-2021); NIH R01-DC-014085 (2016-2020); NYU Abu Dhabi Institute G1001 (2011-2016).