Lessons

Clear search and reset the filters
Introduction to EEGLAB part 1: Why EEGLAB
Course:
Introduction to EEGLAB

EEGLAB is an interactive Matlab toolbox for processing continuous and event-related EEG, MEG and other electrophysiological data incorporating independent component analysis (ICA), time/frequency analysis, artifact rejection, event-related statistics, and several useful modes of visualization of the averaged and single-trial data. EEGLAB runs under Linux, Unix, Windows, and Mac OS X.

Difficulty level: Beginner
Duration: 15:32
Speaker: : Arnaud Delorme
Introduction to EEGLAB part 2: The origin of the EEG signal
Course:
Introduction to EEGLAB
Difficulty level: Beginner
Duration: 6:53
Speaker: : Arnaud Delorme
Introduction to EEGLAB part 3: Source resolved EEG brain dynamics
Course:
Introduction to EEGLAB
Difficulty level: Beginner
Duration: 10:56
Speaker: : Arnaud Delorme
Introduction to EEGLAB part 4: EEGLAB history and usage statistics
Course:
Introduction to EEGLAB
Difficulty level: Beginner
Duration: 6:06
Speaker: : Arnaud Delorme
Introduction to EEGLAB part 5: Single subject processing pipeline
Course:
Introduction to EEGLAB
Difficulty level: Beginner
Duration: 9:20
Speaker: :
Introduction to EEGLAB part 6: Multi subject analysis and scripting
Course:
Introduction to EEGLAB
Difficulty level: Beginner
Duration: 10:55
Speaker: : Arnaud Delorme
EEGLAB preprocessing part 1: Importing raw data
Course:
Preprocessing data in EEGLAB
Difficulty level: Beginner
Duration: 8:30
Speaker: : Arnaud Delorme
EEGLAB preprocessing part 2: Events and channel locations
Course:
Preprocessing data in EEGLAB
Difficulty level: Beginner
Duration: 11:53
Speaker: : Arnaud Delorme
EEGLAB preprocessing part 5: Visualizing data and looking for artifacts
Course:
Preprocessing data in EEGLAB
Difficulty level: Beginner
Duration: 5:08
Speaker: :
EEGLAB preprocessing part 6: Removing bad channels
Course:
Preprocessing data in EEGLAB
Difficulty level: Beginner
Duration: 13:01
Speaker: : Arnaud Delorme
EEGLAB preprocessing part 7: Removing bad data segments
Course:
Preprocessing data in EEGLAB
Difficulty level: Beginner
Duration: 11:25
Speaker: : Arnaud Delorme
OpenNeuro.org tutorial I: uploading and versioning your data
Course:
OpenNeuro.org Tutorials

This tutorial talks about how to upload and version your data in OpenNeuro.org

Difficulty level: Beginner
Duration: 5:36
Speaker: : Unknown
OpenNeuro.org tutorial II: sharing your data
Course:
OpenNeuro.org Tutorials

This tutorial shows how to share your data in OpenNeuro.org

Difficulty level: Beginner
Duration: 1:22
Speaker: : Unknown
OpenNeuro.org tutorial III: running analysis
Course:
OpenNeuro.org Tutorials

This tutorial shows how to run analysis in OpenNeuro.org

Difficulty level: Beginner
Duration: 2:26
Speaker: : Unknown
Research Resource Identifiers (RRIDs): What are they good for and how to use them
Course:
NeuroTools Webinar series

Research Resource Identifiers (RRIDs) are ID numbers assigned to help researchers cite key resources (antibodies, model organisms and software projects) in the biomedical literature to improve transparency of research methods.

Difficulty level: Beginner
Duration: 1:01:36
Speaker: : Maryann Martone