René's URL Explorer Experiment

Title: Welcome to the EEGLAB Wiki - EEGLAB Wiki

Open Graph Title: Welcome to the EEGLAB Wiki

X Title: Welcome to the EEGLAB Wiki

Description: EEGLAB Documentation including tutorials and workshops information

Open Graph Description: EEGLAB Documentation including tutorials and workshops information

Mail addresses
eeglab@sccn.ucsd.edu
EEGLAB@sccn.ucsd.edu
EEGLAB@sccn.ucsd.edu

Opengraph URL: https://eeglab.org/

Generator: Jekyll v4.3.4

direct link

Domain: sccn.github.io

Hey, it has json ld scripts:

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Links:

	https://eeglab.org/
	https://sccn.github.io
EEGLAB news	https://sccn.github.io/news/newsletter.html
EEGLAB newsletter	https://sccn.github.io/news/newsletter.html
Two decades of EEGLAB	https://sccn.github.io/others/The_first_decade_of_EEGLAB.html
Download EEGLAB	https://sccn.github.io/download/
Download EEGLAB MATLAB	https://sccn.github.io/others/How_to_download_EEGLAB.html
Download EEGLAB compiled	https://sccn.github.io/others/Compiled_EEGLAB.html
EEGLAB Extensions	https://sccn.github.io/others/EEGLAB_Extensions.html
EEGLAB References	https://sccn.github.io/others/EEGLAB_References.html
EEGLAB revision history	https://sccn.github.io/others/EEGLAB_revision_history.html
Hard/software requirements	https://sccn.github.io/others/EEGLAB_hardware_and_software_recommendations.html
Tutorials	https://sccn.github.io/tutorials/
1. Installing EEGLAB	https://sccn.github.io/tutorials/01_Install/Install.html
2. Quickstart	https://sccn.github.io/tutorials/02_Quickstart/quickstart.html
3. Dataset management	https://sccn.github.io/tutorials/03_Dataset_management/datasets.html
4. Import data	https://sccn.github.io/tutorials/04_Import/Import.html
a. Continuous data	https://sccn.github.io/tutorials/04_Import/Importing_Continuous_and_Epoched_Data.html
b. Events	https://sccn.github.io/tutorials/04_Import/Importing_Event_Epoch_Info.html
c. Channel Locations	https://sccn.github.io/tutorials/04_Import/Channel_Locations.html
d. BIDS	https://sccn.github.io/tutorials/04_Import/BIDS.html
5. Preprocess data	https://sccn.github.io/tutorials/05_Preprocess/
a. Filtering	https://sccn.github.io/tutorials/05_Preprocess/Filtering.html
b. Re-referencing	https://sccn.github.io/tutorials/05_Preprocess/rereferencing.html
c. Resampling	https://sccn.github.io/tutorials/05_Preprocess/resampling.html
6. Reject artifacts	https://sccn.github.io/tutorials/06_RejectArtifacts/
a. Remove bad channels	https://sccn.github.io/tutorials/06_RejectArtifacts/Channel_rejection.html
b. Remove bad data	https://sccn.github.io/tutorials/06_RejectArtifacts/Scrolling_data.html
c. Automated rejection	https://sccn.github.io/tutorials/06_RejectArtifacts/cleanrawdata.html
d. Indep. Comp. Analysis	https://sccn.github.io/tutorials/06_RejectArtifacts/RunICA.html
7. Extract Data Epochs	https://sccn.github.io/tutorials/07_Extract_epochs/Extracting_Data_Epochs.html
8. Plot data	https://sccn.github.io/tutorials/08_Plot_data/
a. ERPs	https://sccn.github.io/tutorials/08_Plot_data/Data_Averaging.html
b. ERP-image	https://sccn.github.io/tutorials/08_Plot_data/Plotting_ERP_images.html
c. Spectra	https://sccn.github.io/tutorials/08_Plot_data/Plotting_Channel_Spectra_and_Maps.html
d. Time-Frequency	https://sccn.github.io/tutorials/08_Plot_data/Time-Frequency_decomposition.html
e. ICA components	https://sccn.github.io/tutorials/08_Plot_data/Plotting_ICA_components.html
9. Source analysis	https://sccn.github.io/tutorials/09_source/
a. Head model	https://sccn.github.io/tutorials/09_source/Model_Settings.html
b. Indep. Comp. sources	https://sccn.github.io/tutorials/09_source/DIPFIT.html
c. EEG source model	https://sccn.github.io/tutorials/09_source/EEG_sources.html
d. Custom head model	https://sccn.github.io/tutorials/09_source/Custom_head_model.html
10. Group analysis	https://sccn.github.io/tutorials/10_Group_analysis/
a. Batch processing	https://sccn.github.io/tutorials/10_Group_analysis/multiple_subject_proccessing_overview.html
b. STUDY creation	https://sccn.github.io/tutorials/10_Group_analysis/study_creation.html
c. STUDY designs	https://sccn.github.io/tutorials/10_Group_analysis/working_with_study_designs.html
d. STUDY visualization	https://sccn.github.io/tutorials/10_Group_analysis/study_data_visualization_tools.html
e. STUDY statistics	https://sccn.github.io/tutorials/10_Group_analysis/study_statistics.html
f. STUDY ICA clusters	https://sccn.github.io/tutorials/10_Group_analysis/component_clustering_tools.html
g. Advanced statistics	https://sccn.github.io/tutorials/10_Group_analysis/advanced_statistics.html
g. Custom measures	https://sccn.github.io/tutorials/10_Group_analysis/custom_measures.html
11. Write scripts	https://sccn.github.io/tutorials/11_Scripting/
a. Using EEGLAB history	https://sccn.github.io/tutorials/11_Scripting/Using_EEGLAB_history.html
b. Event Processing	https://sccn.github.io/tutorials/11_Scripting/Event_Processing_command_line.html
c. Group-level analysis	https://sccn.github.io/tutorials/11_Scripting/command_line_study_functions.html
d. Advanced plots	https://sccn.github.io/tutorials/11_Scripting/EEG_scalp_measures.html
e. Automated pipeline	https://sccn.github.io/tutorials/11_Scripting/automated_pipeline.html
f. BIDS pipeline	https://sccn.github.io/tutorials/11_Scripting/Analyzing_EEG_BIDS_data_in_EEGLAB.html
Concepts guide	https://sccn.github.io/tutorials/ConceptsGuide/
Setting up your lab	https://sccn.github.io/tutorials/ConceptsGuide/Setting_up_your_EEG_lab.html
EEGLAB data structures	https://sccn.github.io/tutorials/ConceptsGuide/Data_Structures.html
Coordinate systems	https://sccn.github.io/tutorials/ConceptsGuide/coordinateSystem.html
EEGLAB functions	https://sccn.github.io/tutorials/ConceptsGuide/EEGLAB_functions.html
ERP image	https://sccn.github.io/tutorials/ConceptsGuide/erp_image_background.html
Indep. Comp. Analysis	https://sccn.github.io/tutorials/ConceptsGuide/ICA_background.html
Learning EEG	https://sccn.github.io/tutorials/ConceptsGuide/LearningEEG.html
Re-referencing	https://sccn.github.io/tutorials/ConceptsGuide/rereferencing_background.html
Spectral analysis	https://sccn.github.io/tutorials/ConceptsGuide/Time_frequency_tutorial.html
Statistics	https://sccn.github.io/tutorials/ConceptsGuide/statistics_theory.html
Contribute	https://sccn.github.io/tutorials/contribute/
Create an EEGLAB plugin	https://sccn.github.io/tutorials/contribute/design_plugin.html
EEGLAB dev philosophy	https://sccn.github.io/tutorials/contribute/philosophy.html
Modify EEGLAB code	https://sccn.github.io/tutorials/contribute/Contributing_to_EEGLAB.html
Reference Topics	https://sccn.github.io/tutorials/misc/
Quick rejection tutorial	https://sccn.github.io/tutorials/misc/Quick_Tutorial_on_Rejection.html
EEGLAB and EMG data	https://sccn.github.io/tutorials/misc/EEGLAB_and_EMG_data.html
EEGLAB and MEG data	https://sccn.github.io/tutorials/misc/EEGLAB_and_MEG_data.html
EEGLAB and iEEG data	https://sccn.github.io/tutorials/misc/EEGLAB_and_iEEG_data.html
EEGLAB preferences menu	https://sccn.github.io/tutorials/misc/EEGLAB_option_menu.html
Exporting Data	https://sccn.github.io/tutorials/misc/Exporting_Data.html
Find ERP peaks	https://sccn.github.io/tutorials/misc/find_erp_peaks.html
Legacy rejection	https://sccn.github.io/tutorials/misc/Rejecting_Artifacts_Legacy_Menus.html
MATLAB tutorial	https://sccn.github.io/tutorials/misc/tutorial_matlab.html
Tutorial data	https://sccn.github.io/tutorials/tutorial_data.html
Workshops	https://sccn.github.io/workshops/
Online EEGLAB workshop	https://sccn.github.io/workshops/Online_EEGLAB_Workshop.html
Complete Course Material	https://sccn.github.io/workshops/eeglab_course.html
Future workshops	https://sccn.github.io/workshops/Future_workshops.html
Past workshops	https://sccn.github.io/workshops/old_workshops_list.html
EEGLAB 2009 Aspet	https://sccn.github.io/workshops/EEGLAB_2009_Aspet.html
EEGLAB 2009 Australia	https://sccn.github.io/workshops/EEGLAB_2009_Australia.html
EEGLAB 2009 Indiana	https://sccn.github.io/workshops/EEGLAB_2009_Bloomington.html
EEGLAB 2010 Finland	https://sccn.github.io/workshops/EEGLAB_2010_Finland.html
EEGLAB 2010 San Diego	https://sccn.github.io/workshops/EEGLAB_2010_SanDiego.html
EEGLAB 2010 Taiwan	https://sccn.github.io/workshops/EEGLAB_2010_Taiwan.html
EEGLAB 2011 Aspet	https://sccn.github.io/workshops/EEGLAB_2011_Aspet.html
EEGLAB 2011 Mallorca	https://sccn.github.io/workshops/EEGLAB_2011_Mallorca.html
EEGLAB 2012 Beijing	https://sccn.github.io/workshops/EEGLAB_2012_Beijing.html
EEGLAB 2013 Aspet	https://sccn.github.io/workshops/EEGLAB_2013_Aspet.html
EEGLAB 2013 UCSD	https://sccn.github.io/workshops/EEGLAB_2013_UCSD.html
EEGLAB 2014 Rio	https://sccn.github.io/workshops/EEGLAB_2014_Rio.html
EEGLAB 2015 Aspet	https://sccn.github.io/workshops/EEGLAB_2015_Aspet.html
EEGLAB 2015 Sheffield	https://sccn.github.io/workshops/EEGLAB_2015_Sheffield.html
EEGLAB 2016 SML	https://sccn.github.io/workshops/EEGLAB_2016_SML.html
EEGLAB 2016 UCSD	https://sccn.github.io/workshops/EEGLAB_2016_at_UCSD.html
EEGLAB 2017 Aspet	https://sccn.github.io/workshops/EEGLAB_2017_Aspet.html
EEGLAB 2017 Israel	https://sccn.github.io/workshops/EEGLAB_2017_Israel.html
EEGLAB 2017 Japan	https://sccn.github.io/workshops/EEGLAB_2017_Japan.html
EEGLAB 2017 Mysore	https://sccn.github.io/workshops/EEGLAB_2017_Mysore.html
EEGLAB 2018 Pittsburgh	https://sccn.github.io/workshops/EEGLAB_2018_Pittsburgh.html
EEGLAB 2018 UCSD	https://sccn.github.io/workshops/EEGLAB_2018_at_UCSD.html
EEGLAB 2019 Aspet	https://sccn.github.io/workshops/EEGLAB_2019_Aspet.html
EEGLAB 2022 Lublin	https://sccn.github.io/workshops/EEGLAB_2022_lublin.html
EEGLAB 2022 UCSD	https://sccn.github.io/workshops/EEGLAB_2022_UCSD.html
EEGLAB 2023 Aspet	https://sccn.github.io/workshops/EEGLAB_2023_Aspet.html
EEGLAB 2025 Aspet	https://sccn.github.io/workshops/EEGLAB_2025_Aspet.html
EEGLAB 2025 UCSD	https://sccn.github.io/workshops/EEGLAB_2025_UCSD.html
SIESTA Symposium 2025	https://sccn.github.io/workshops/Symposium_SIESTA_2025.html
Interoperability	https://sccn.github.io/Interoperability/
EEGLAB and FieldTrip	https://sccn.github.io/others/EEGLAB_and_Fieldtrip.html
EEGLAB and HPC	https://sccn.github.io/others/EEGLAB_and_high_performance_computing.html
EEGLAB and Python	https://sccn.github.io/others/EEGLAB_and_python.html
EEGLAB on Octave	https://sccn.github.io/others/Running_EEGLAB_on_Octave.html
EEGLAB vs. commercial soft.	https://sccn.github.io/others/EEGLAB_vs_Commercial_EEG_Software.html
Support	https://sccn.github.io/support/
General FAQ	https://sccn.github.io/others/TIPS_and_FAQ.html
Filtering FAQ	https://sccn.github.io/others/Firfilt_FAQ.html
EEGLAB mailing lists	https://sccn.github.io/others/EEGLAB_mailing_lists.html
EEGLAB Bugs	https://sccn.github.io/others/EEGLAB_Bugs.html
EEGLAB test cases	https://sccn.github.io/others/EEGLAB_test_cases.html
Plugins	https://sccn.github.io/plugins/
ICLabel	https://sccn.github.io/plugins/ICLabel/
Viewprops	https://sccn.github.io/plugins/viewprops/
DIPFIT	https://sccn.github.io/plugins/dipfit/
ROIconnect	https://sccn.github.io/plugins/roiconnect/
AMICA	https://sccn.github.io/plugins/amica/
Clean_rawdata	https://sccn.github.io/plugins/clean_rawdata/
Documentation	https://sccn.github.io/plugins/clean_rawdata/Documentation.html
LIMO	https://sccn.github.io/plugins/limo/
01.-Preprocessing	https://sccn.github.io/plugins/limo/01.-Preprocessing.html
02.-Within-Subject-Categorical-Designs	https://sccn.github.io/plugins/limo/02.-Within-Subject-Categorical-Designs.html
03.1.-One-way-repeated-measures-ANOVA-(Famous,-Unfamiliar,-Scrambled-faces-as-conditions)	https://sccn.github.io/plugins/limo/03.1.-One-way-repeated-measures-ANOVA-Famous-Unfamiliar-Scrambled-faces-as-conditions.html
03.2.--One-way-repeated-measures-ANOVA-revised-(Famous,-Unfamiliar,-Scrambled-faces-as-1st-level-contrasts)	https://sccn.github.io/plugins/limo/03.2.--One-way-repeated-measures-ANOVA-revised-Famous-Unfamiliar-Scrambled-faces-as-1st-level-contrasts.html
04.-Summary-statistics:-Effects-and-Effect-sizes	https://sccn.github.io/plugins/limo/04.-Summary-statistics-Effects-and-Effect-sizes.html
05.-One-sample-t-test-(contrasting-Full-Faces-vs-Scrambled-Faces-at-the-subject-level)	https://sccn.github.io/plugins/limo/05.-One-sample-t-test-contrasting-Full-Faces-vs-Scrambled-Faces-at-the-subject-level.html
06.-Summary-statistics-of-differences	https://sccn.github.io/plugins/limo/06.-Summary-statistics-of-differences.html
07.-Two-ways-ANOVA-(Faces-x-Repetition)	https://sccn.github.io/plugins/limo/07.-Two-ways-ANOVA-Faces-x-Repetition.html
08.-Paired-t-test-(Famous-vs-Unfamiliar)	https://sccn.github.io/plugins/limo/08.-Paired-t-test-Famous-vs-Unfamiliar.html
09.1.-Between-subjects’-ANOVAs-with-repeated-factors	https://sccn.github.io/plugins/limo/09.1.-Between-subjects%E2%80%99-ANOVAs-with-repeated-factors.html
09.2.-Between-Subjects-Categorical-Designs	https://sccn.github.io/plugins/limo/09.2.-Between-Subjects-Categorical-Designs.html
10.-Two-sample-t-tests	https://sccn.github.io/plugins/limo/10.-Two-sample-t-tests.html
11.-Regression-among-subjects	https://sccn.github.io/plugins/limo/11.-Regression-among-subjects.html
12.-Regression-at-the-trial-level	https://sccn.github.io/plugins/limo/12.-Regression-at-the-trial-level.html
SIFT	https://sccn.github.io/plugins/SIFT/
Chapter-1.-Downloads	https://sccn.github.io/plugins/SIFT/Chapter-1.-Downloads.html
Chapter-2.-Introduction	https://sccn.github.io/plugins/SIFT/Chapter-2.-Introduction.html
Chapter-3-and-4-Theory	https://sccn.github.io/plugins/SIFT/Chapter-3-and-4-Theory.html
Chapter-5.-Computing-connectivity	https://sccn.github.io/plugins/SIFT/Chapter-5.-Computing-connectivity.html
Chapter-5.1.-SIFT-install	https://sccn.github.io/plugins/SIFT/Chapter-5.1.-SIFT-install.html
Chapter-5.2.-Loading-and-preparing-the-data	https://sccn.github.io/plugins/SIFT/Chapter-5.2.-Loading-and-preparing-the-data.html
Chapter-5.3.-SIFT-preprocessing	https://sccn.github.io/plugins/SIFT/Chapter-5.3.-SIFT-preprocessing.html
Chapter-5.4.-Model-Fitting-and-Validation	https://sccn.github.io/plugins/SIFT/Chapter-5.4.-Model-Fitting-and-Validation.html
Chapter-5.5.-Connectivity-Estimation	https://sccn.github.io/plugins/SIFT/Chapter-5.5.-Connectivity-Estimation.html
Chapter-6.-Visualization	https://sccn.github.io/plugins/SIFT/Chapter-6.-Visualization.html
Chapter-7.-Statistics-in-SIFT	https://sccn.github.io/plugins/SIFT/Chapter-7.-Statistics-in-SIFT.html
Chapter-8.-Conclusions-and-Acknowledgements	https://sccn.github.io/plugins/SIFT/Chapter-8.-Conclusions-and-Acknowledgements.html
Function-Reference	https://sccn.github.io/plugins/SIFT/Function-Reference.html
References	https://sccn.github.io/plugins/SIFT/References.html
groupSIFT	https://sccn.github.io/plugins/groupSIFT/
BrainBeats	https://sccn.github.io/plugins/BrainBeats/
Zapline-Plus	https://sccn.github.io/plugins/zapline-plus/
CleanLine	https://sccn.github.io/plugins/cleanline/
EEGstats	https://sccn.github.io/plugins/eegstats/
nwbio	https://sccn.github.io/plugins/nwbio/
trimOutlier	https://sccn.github.io/plugins/trimOutlier/
fMRIb	https://sccn.github.io/plugins/fMRIb/
IMAT	https://sccn.github.io/plugins/imat/
NIMA	https://sccn.github.io/plugins/NIMA/
PACT	https://sccn.github.io/plugins/PACT/
NFT	https://sccn.github.io/plugins/NFT/
Chapter-01-Getting-Started-with-NFT	https://sccn.github.io/plugins/NFT/Chapter-01-Getting-Started-with-NFT.html
Chapter-02-Head-Modeling-from-MR-Images	https://sccn.github.io/plugins/NFT/Chapter-02-Head-Modeling-from-MR-Images.html
Chapter-03-Forward-Model-Generation	https://sccn.github.io/plugins/NFT/Chapter-03-Forward-Model-Generation.html
Chapter-04-NFT-Examples	https://sccn.github.io/plugins/NFT/Chapter-04-NFT-Examples.html
Chapter-05-NFT-Commands-and-Functions	https://sccn.github.io/plugins/NFT/Chapter-05-NFT-Commands-and-Functions.html
NFT-Appendix-A	https://sccn.github.io/plugins/NFT/NFT-Appendix-A.html
NFT-Appendix-B	https://sccn.github.io/plugins/NFT/NFT-Appendix-B.html
NFT-Appendix-C	https://sccn.github.io/plugins/NFT/NFT-Appendix-C.html
PACTools	https://sccn.github.io/plugins/PACTools/
ARfitStudio	https://sccn.github.io/plugins/ARfitStudio/
PowPowCAT	https://sccn.github.io/plugins/PowPowCAT/
RELICA	https://sccn.github.io/plugins/relica/
std_dipoleDensity	https://sccn.github.io/plugins/std_dipoleDensity/
FirFilt	https://sccn.github.io/plugins/firfilt/
NSGportal	https://sccn.github.io/plugins/nsgportal/
Creating-and-managing-a-job-from-pop_nsg-GUI	https://sccn.github.io/plugins/nsgportal/Creating-and-managing-a-job-from-pop_nsg-GUI.html
Creating-and-managing-an-NSG-job-using-pop_nsg-from-the-command-line	https://sccn.github.io/plugins/nsgportal/Creating-and-managing-an-NSG-job-using-pop_nsg-from-the-command-line.html
EEGLAB-plug-ins-on-NSG	https://sccn.github.io/plugins/nsgportal/EEGLAB-plug-ins-on-NSG.html
Registering-at-NSG	https://sccn.github.io/plugins/nsgportal/Registering-at-NSG.html
Scheme-of-plug-in-functions-call	https://sccn.github.io/plugins/nsgportal/Scheme-of-plug-in-functions-call.html
Setting-up-the-plug-in	https://sccn.github.io/plugins/nsgportal/Setting-up-the-plug-in.html
Using-pop_nsg-command-line-tools-in-your-EEGLAB-plug-in	https://sccn.github.io/plugins/nsgportal/Using-pop_nsg-command-line-tools-in-your-EEGLAB-plug-in.html
Using-the-Open-EEGLAB-Portal	https://sccn.github.io/plugins/nsgportal/Using-the-Open-EEGLAB-Portal.html
nsgportal-command-line-tools	https://sccn.github.io/plugins/nsgportal/nsgportal-command-line-tools.html
nsgportal-graphical-user-interface:-pop_nsg	https://sccn.github.io/plugins/nsgportal/nsgportal-graphical-user-interface-pop_nsg.html
EEG-BIDS	https://sccn.github.io/plugins/EEG-BIDS/
EEG‐BIDS-docs	https://sccn.github.io/plugins/EEG-BIDS/EEG%E2%80%90BIDS-docs.html
NWB-io	https://sccn.github.io/plugins/NWB-io/
BVA-io	https://sccn.github.io/plugins/BVA-io/
MFF-matlab-io	https://sccn.github.io/plugins/MFF-matlab-io/
1.-Plugin-install	https://sccn.github.io/plugins/MFF-matlab-io/1.-Plugin-install.html
2.-Import-MFF-in-EEGLAB	https://sccn.github.io/plugins/MFF-matlab-io/2.-Import-MFF-in-EEGLAB.html
3.-Export-to-Netstation	https://sccn.github.io/plugins/MFF-matlab-io/3.-Export-to-Netstation.html
4.-Exporting-to-BIDS	https://sccn.github.io/plugins/MFF-matlab-io/4.-Exporting-to-BIDS.html
5.-Use-with-Fieldtrip	https://sccn.github.io/plugins/MFF-matlab-io/5.-Use-with-Fieldtrip.html
6.-Use-with-Python-&-MNE	https://sccn.github.io/plugins/MFF-matlab-io/6.-Use-with-Python-&-MNE.html
get_chanlocs	https://sccn.github.io/plugins/get_chanlocs/
Documentation	https://sccn.github.io/plugins/get_chanlocs/Documentation.html
Just the Docs	https://github.com/pmarsceill/just-the-docs
	https://sccn.github.io#welcome-to-the-eeglab-wiki
Delorme & Makeig, 2004	https://sccn.github.io/others/EEGLAB_References.html
	https://sccn.github.io#download-eeglab
EEGLAB hardware and software recommendations	https://sccn.github.io/others/EEGLAB_hardware_and_software_recommendations.html
Download EEGLAB as a ZIP file	https://sccn.github.io/others/How_to_download_EEGLAB.html
Download EEGLAB from GIT	https://github.com/sccn/eeglab
Download the compiled version of EEGLAB	https://sccn.github.io/others/Compiled_EEGLAB.html
EEGLAB extensions/plugins	https://sccn.github.io/others/EEGLAB_Extensions.html
EEGLAB revision history	https://sccn.github.io/others/EEGLAB_revision_history.html
	https://sccn.github.io#useful-eeglab-documentation-pages
EEGLAB reference articles - Please cite	https://sccn.github.io/others/EEGLAB_References.html
Quick ICA Component Rejection Tutorial	https://sccn.github.io/tutorials/misc/Quick_Tutorial_on_Rejection.html
Using EEGLAB vs. Commercial EEG Software	https://sccn.github.io/others/EEGLAB_vs_Commercial_EEG_Software.html
Working with EEGLAB and Fieldtrip	https://sccn.github.io/others/EEGLAB_and_Fieldtrip.html
Using EEGLAB on open-source Octave	https://sccn.github.io/others/Running_EEGLAB_on_Octave.html
Using EEGLAB on high performance computing resources	https://sccn.github.io/others/EEGLAB_and_high_performance_computing.html
EEGLAB on MATLAB versus Python	https://sccn.github.io/others/EEGLAB_and_python.html
EEGLAB History: The first two decades from 2001-2021	https://sccn.github.io/others/The_first_decade_of_EEGLAB.html
	https://sccn.github.io#troubleshooting
Ask eeglablist@sccn.ucsd.edu (requires subscription here)	https://sccn.github.io/others/EEGLAB_mailing_lists.html
Use Google - add “eeglablist” or “EEGLAB” to your query	http://google.com
Bugs and Suggestions	https://sccn.github.io/others/EEGLAB_Bugs.html
Post a bug issues on Github	https://github.com/sccn/eeglab/issues
Download EEGLAB test cases	https://github.com/sccn/eeglab-testcases
Other TIPS and FAQ	https://sccn.github.io/others/TIPS_and_FAQ
EEGLAB filtering FAQ	https://sccn.github.io/others/Firfilt_FAQ
	https://sccn.github.io#troubleshooting
EEGLAB Tutorial	https://sccn.github.io/tutorials
1. Installing EEGLAB	https://sccn.github.io/tutorials/01_Install/Install.html
2. Quickstart	https://sccn.github.io/tutorials/02_Quickstart/quickstart.html
3. Dataset management	https://sccn.github.io/tutorials/03_Dataset_management/datasets.html
4. Import data	https://sccn.github.io/tutorials/04_Import/Import.html
5. Preprocess data	https://sccn.github.io/tutorials/05_Preprocess/
6. Reject artifacts	https://sccn.github.io/tutorials/06_RejectArtifacts/
7. Extract Data Epochs	https://sccn.github.io/tutorials/07_Extract_epochs/Extracting_Data_Epochs.html
8. Plot data	https://sccn.github.io/tutorials/08_Plot_data/
9. Source analysis	https://sccn.github.io/tutorials/09_source/
10. Group analysis	https://sccn.github.io/tutorials/10_Group_analysis/
11. Write scripts	https://sccn.github.io/tutorials/11_Scripting/
Concepts guide	https://sccn.github.io/tutorials/ConceptsGuide/
How to contribute to the EEGLAB project	https://sccn.github.io/tutorials/contribute/
Reference Topics	https://sccn.github.io/tutorials/misc/
Tutorial data and publicly available EEG data	https://sccn.github.io/tutorials/tutorial_data.html
	https://sccn.github.io#troubleshooting
Workshops	https://sccn.github.io/workshops
Online EEGLAB workshop	https://sccn.github.io/workshops/Online_EEGLAB_Workshop.html
Complete Course Material	https://sccn.github.io/workshops/eeglab_course.html
EEGLAB 2021 UCSD workshop	https://sccn.github.io/workshops/EEGLAB_2021_UCSD_workshop_program.html
Future EEGLAB workshop	https://sccn.github.io/workshops/Future_workshops.html
Past EEGLAB workshop	https://sccn.github.io/workshops/old_workshops_list.html
EEGLAB 2021 UCSD workshop	https://sccn.github.io/workshops/deadlink.html
EEGLAB 2025 Aspet workshop	https://sccn.github.io/workshops/EEGLAB_2025_Aspet.html
EEGLAB 2025 UCSD workshop	https://sccn.github.io/workshops/EEGLAB_2025_UCSD.html
SIESTA Symposium 2025	https://sccn.github.io/workshops/Symposium_SIESTA_2025.html
Edit this page on GitHub	https://github.com/sccn/sccn.github.io/tree/master/index.markdown

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