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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: 9:20
Speaker: :
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Difficulty level: Beginner
Duration: 5:08
Speaker: :
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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.
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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This tutorial illustrates several ways to approach predictive modeling and machine learning with MATLAB.
Difficulty level: Beginner
Duration: 6:27
Speaker: : MATLAB®
