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Lecture title:

This lecture focuses on where and how Jupyter notebooks can be used most effectively for education

Difficulty level: Beginner
Duration: 34:53
Speaker: : Thomas Kluyver.
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JupyterHub is a simple, highly extensible, multi-user system for managing per-user Jupyter Notebook servers, designed for research groups or classes. This lecture covers deploying JupyterHub on a single server, as well as deploying with Docker using GitHub for authentication.

Difficulty level: Beginner
Duration: 1:36:27
Speaker: : Thomas Kluyver.
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The practical usage of The Virtual brain in its graphical user interface and via python scripts is introduced. In the graphical user interface, you are guided through its data repository, simulator, phase plane exploration tool, connectivity editor, stimulus generator and the provided analyses. The implemented iPython notebooks of TVB are presented, and since they are public, can be used for further exploration of The Virtual brain.

Difficulty level: Beginner
Duration: 1:12:24
Speaker: : Paul Triebkorn
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This talk highlights a set of platform technologies, software, and data collections that close and shorten the feedback cycle in research. 

Difficulty level: Beginner
Duration: 57:52
Speaker: : Satrajit Ghosh
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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
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Difficulty level: Beginner
Duration: 6:53
Speaker: : Arnaud Delorme
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Difficulty level: Beginner
Duration: 10:56
Speaker: : Arnaud Delorme
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Difficulty level: Beginner
Duration: 6:06
Speaker: : Arnaud Delorme
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Difficulty level: Beginner
Duration: 9:20
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Difficulty level: Beginner
Duration: 10:55
Speaker: : Arnaud Delorme
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Difficulty level: Beginner
Duration: 8:30
Speaker: : Arnaud Delorme
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Difficulty level: Beginner
Duration: 11:53
Speaker: : Arnaud Delorme
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Difficulty level: Beginner
Duration: 5:08
Speaker: :
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Difficulty level: Beginner
Duration: 13:01
Speaker: : Arnaud Delorme
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Difficulty level: Beginner
Duration: 11:25
Speaker: : Arnaud Delorme
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Difficulty level: Beginner
Duration: 6:10
Speaker: : MATLAB®
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Difficulty level: Beginner
Duration: 15:10
Speaker: : MATLAB®
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Difficulty level: Beginner
Duration: 2:49
Speaker: : MATLAB®
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Difficulty level: Beginner
Duration: 6:10
Speaker: : MATLAB®
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This tutorial illustrates several ways to approach predictive modeling and machine learning with MATLAB.

Difficulty level: Beginner
Duration: 6:27
Speaker: : MATLAB®