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This lecture covers self-supervision as it relates to neural data tasks and the Mine Your Own vieW (MYOW) approach.

Difficulty level: Beginner
Duration: 25:50
Speaker: : Eva Dyer

This video gives a short introduction to the EBRAINS data sharing platform, why it was developed, and how it contributes to open data sharing.

Difficulty level: Beginner
Duration: 17:32
Speaker: : Ida Aasebø

This video introduces the key principles for data organisation and explains how you could make your data FAIR for data sharing on EBRAINS.

Difficulty level: Beginner
Duration: 10:54
Course:

An introduction to data management, manipulation, visualization, and analysis for neuroscience. Students will learn scientific programming in Python, and use this to work with example data from areas such as cognitive-behavioral research, single-cell recording, EEG, and structural and functional MRI. Basic signal processing techniques including filtering are covered. The course includes a Jupyter Notebook and video tutorials.

 

Difficulty level: Beginner
Duration: 1:09:16
Speaker: : Aaron J. Newman

This lesson introduces concepts and practices surrounding reference atlases for the mouse and rat brains. Additionally, this lesson provides discussion around examples of data systems employed to organize neuroscience data collections in the context of reference atlases as well as analytical workflows applied to the data.

Difficulty level: Beginner
Duration: 03:04:29
Speaker: :

Enabling multi scale data integration: Turning data to knowledge - Introduction

 

 

Difficulty level: Beginner
Duration: 2:44
Speaker: : Petra Ritter

Enabling multi scale data integration: Turning data to knowledge - Hands-on session 

 

 

Difficulty level: Beginner
Duration: 32:58
Speaker: : Jil Meier