EEGLAB TUTORIAL OUTLINE
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[edit] The EEGLAB Tutorial Outline
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-- Getting Started
-- Quick Rejection Tutorial
[edit] I.Main Tutorial
- Chapter 01: Loading Data in EEGLAB
- Chapter 02: Channel Locations
- Chapter 03: Plotting Channel Spectra and Maps
- Chapter 04: Preprocessing Tools
- Chapter 05: Extracting Data Epochs
- Chapter 06: Data Averaging
- Chapter 07: Selecting Data Epochs and Comparing
- Chapter 08: Plotting ERP images
- Chapter 09: Decomposing Data Using ICA
- Chapter 10: Working with ICA components
- Chapter 11: Time/Frequency decomposition
- Chapter 12: Multiple Datasets
[edit] II.Advanced Topics
- Chapter 01: Rejecting Artifacts
- Chapter 02: Writing EEGLAB Scripts
- Chapter 03: Event Processing
- Chapter 04: Independent Component Clustering
[edit] III.Appendix
- A01: Importing Continuous Epoched Data
- A02: Importing Event Epoch Info
- A03: Importing Channel Locations
- A04: Exporting Data
- A05: Data Structures
- A06: Maximizing Memory
- A07: Contributing to EEGLAB
- A08: DIPFIT
- A09: Using custom MRI from individual subjects
- A10: MI-clust
- A11: BESA (outdated)
- A12: Quick Tutorial on Rejection
- A13: Compiled EEGLAB
This tutorial was written by: Arnaud Delorme, and Scott Makeig
Many thanks to Hilit Serby, Nima Bigdely, and Toby Fernsler for additions and or edits. Thanks also to Payton Lin for capturing some images in earlier versions and to Micah Richert, Yannick Marchand, Elizabeth Milne, and Stefen Debener for their detailed comments. In addition, thanks to all those who have contributed code and suggestions to EEGLAB, and to Devapratim Sarma for converting and updating the EEGLAB documentation to a WIKI.
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