Lesson type
Difficulty level
This lecture contains an overview of the China-Cuba-Canada neuroinformatics ecosystem for Quantitative Tomographic EEG Analysis (qEEGt).
Difficulty level: Beginner
Duration: 12:56
Speaker: : Pedro Valdes-Sosa
This lecture contains an overview of electrophysiology data reuse within the EBRAINS ecosystem.
Difficulty level: Beginner
Duration: 15:57
Speaker: : Andrew Davison
This lecture contains an overview of the Distributed Archives for Neurophysiology Data Integration (DANDI) archive, its ties to FAIR and open-source, integrations with other programs, and upcoming features.
Difficulty level: Beginner
Duration: 13:34
Speaker: : Yaroslav O. Halchenko
This lesson contains both a lecture and a tutorial component. The lecture (0:00-20:03 of YouTube video) discusses both the need for intersectional approaches in healthcare as well as the impact of neglecting intersectionality in patient populations. The lecture is followed by a practical tutorial in both Python and R on how to assess intersectional bias in datasets. Links to relevant code and data are found below.
Difficulty level: Beginner
Duration: 52:26
In this lesson, you will learn in more detail about neuromorphic computing, that is, non-standard computational architectures that mimic some aspect of the way the brain works.
Difficulty level: Intermediate
Duration: 10:08
Speaker: : Dan Goodman
This lecture explains the need for data federation in medicine and how it can be achieved.
Difficulty level: Intermediate
Duration: 27:09
Speaker: : Philippe Ryvlin