Lesson type
Difficulty level
The tutorial is intended primarily for beginners, but it will also beneficial to experimentalists who understand electroencephalography and event related techniques, but need additional knowledge in annotation, standardization, long-term storage and publication of data.
Difficulty level: Beginner
Duration: 35:30
Speaker: : Kateřina Vařeková
Introduction to the first phases of EEG/ERP data lifecycle
Difficulty level: Beginner
Duration: 30:04
Speaker: : Kateřina Vařeková
Course:
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
Course:
Difficulty level: Beginner
Duration: 9:20
Speaker: :
Course:
Difficulty level: Beginner
Duration: 10:46
Speaker: :
Course:
Difficulty level: Beginner
Duration: 5:08
Speaker: :
The course is an introduction to the field of electrophysiology standards, infrastructure, and initiatives. This lecture contains an overview of the Australian Electrophysiology Data Analytics Platform (AEDAPT), how it works, how to scale it, and how it fits into the FAIR ecosystem.
Difficulty level: Beginner
Duration: 18:56
Speaker: : Tom Johnstone