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: 5:08
Speaker: :
Course:
Introductory presentation on how data science can help with scientific reproducibility.
Difficulty level: Beginner
Duration:
Speaker: : Michel Dumontier
A basic introduction to clinical presentation of schizophrenia, its etiology, and current treatment options.
Difficulty level: Beginner
Duration: 51:49
Speaker: : Wolfgang Fleischhacker
This lecture will highlight our current understanding and recent developments in the field of neurodegenerative disease research, as well as the future of diagnostics and treatment of neurodegenerative diseases
Difficulty level: Beginner
Duration: 1:02:29
Speaker: : Nir Giladi