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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
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Introduction to EEGLAB
Difficulty level: Beginner
Duration: 6:53
Speaker: : Arnaud Delorme
Introduction to EEGLAB part 3: Source resolved EEG brain dynamics
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Introduction to EEGLAB
Difficulty level: Beginner
Duration: 10:56
Speaker: : Arnaud Delorme
Introduction to EEGLAB part 4: EEGLAB history and usage statistics
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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
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Introduction to EEGLAB
Difficulty level: Beginner
Duration: 10:55
Speaker: : Arnaud Delorme
EEGLAB preprocessing part 1: Importing raw data
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Preprocessing data in EEGLAB
Difficulty level: Beginner
Duration: 8:30
Speaker: : Arnaud Delorme
EEGLAB preprocessing part 2: Events and channel locations
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Preprocessing data in EEGLAB
Difficulty level: Beginner
Duration: 11:53
Speaker: : Arnaud Delorme
EEGLAB preprocessing part 5: Visualizing data and looking for artifacts
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Preprocessing data in EEGLAB
Difficulty level: Beginner
Duration: 5:08
Speaker: :
EEGLAB preprocessing part 6: Removing bad channels
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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
Multi-scale entropy: an abstract measure with clinical application
Course:
The Virtual Brain Node#10 Workshop: Personalized Multi-Scale Brain Simulation

This lecture on multi-scale entropy by Jil Meier is part of the TVB Node 10 series, a 4 day workshop dedicated to learning about The Virtual Brain, brain imaging, brain simulation, personalised brain models, TVB use cases, etc. TVB is a full brain simulation platform.

Difficulty level: Intermediate
Duration: 39:05
Speaker: : Jil Meier