Eelbrain

Eelbrain is an open-source Python package for accessible statistical analysis of MEG and EEG data. It is maintained by Christian Brodbeck at the Computational sensorimotor systems lab at University of Maryland, College Park.

If you use Eelbrain in work that is published, please acknowledge it by citing it with the appropriate version and DOI.

Manual

• Installing
• Getting Started
• Introduction
• Changes
• Publications using Eelbrain
• Development

• Reference
  • Data Classes
  • File I/O
  • Sorting and Reordering
  • NDVar Operations
  • Reverse Correlation
  • Tables
  • Statistics
  • Mass-Univariate Statistics
  • Plotting
  • Plotting Brains
  • GUIs
  • Formatted Text
  • MNE-Experiment
  • Datasets
  • Configuration
• Examples
  • Datasets
  • Reverese Correlation
  • Univariate Statistics
• Recipes
  • Group Level Analysis
  • Regression Design
  • Plots for Publication
• The MneExperiment Pipeline
  • Introduction
  • Step by step
  • Example
  • Experiment Definition
  • State Parameters

See also

• Wiki on GitHub
• Mailing list for announcements
• Source code on GitHub
• Eelbrain on the Python Package Index

Indices and tables

• Index
• Module Index
• Search Page

Eelbrain relies on NumPy, SciPy, Matplotlib, MNE-Python, PySurfer, WxPython, Cython and incorporates icons from the Tango Desktop Project.

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Current funding: National Institutes of Health (NIH) grant R01-DC-014085 (since 2016). Past funding: NYU Abu Dhabi Institute grant G1001 (2011-2016).