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Lecture title:

The simulation of the virtual epileptic patient is presented as an example of advanced brain simulation as a translational approach to deliver improved results in clinics. The fundamentals of epilepsy are explained. On this basis, the concept of epilepsy simulation is developed. By using an iPython notebook, the detailed process of this approach is explained step by step. In the end, you are able to perform simple epilepsy simulations your own.

Difficulty level: Beginner
Duration: 1:28:53
Speaker: : Julie Courtiol
Lecture title:

Learn how to simulate seizure events and epilepsy in The Virtual Brain. We will look at the paper: On the Nature of Seizure Dynamics which describes a new local model called the Epileptor, and apply this same model in The Virtual Brain. This is part 1 of 2 in a series explaining how to use the Epileptor. In this part, we focus on setting up the parameters.

Difficulty level: Beginner
Duration: 4:44
Speaker: : Paul Triebkorn
Lecture title:

FAIR principles and methods currently in development for assessing FAIRness.

Difficulty level: Beginner
Duration:
Speaker: : Michel Dumontier
Lecture title:

Tutorial describing the basic search and navigation features of the Allen Mouse Brain Atlas

Difficulty level: Beginner
Duration: 6:40
Speaker: : Unknown
Lecture title:

Tutorial describing the basic search and navigation features of the Allen Developing Mouse Brain Atlas

Difficulty level: Beginner
Duration: 6:35
Speaker: : Unknown
Lecture title:

This tutorial demonstrates how to use the differential search feature of the Allen Mouse Brain Atlas to find gene markers for different regions of the brain and to visualize this gene expression in three-dimensional space. Differential search is also available for the Allen Developing Mouse Brain Atlas and the Allen Human Brain Atlas.

Difficulty level: Beginner
Duration: 6:31
Speaker: : Unknown
Lecture title:

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
Lecture title:

This lecture covers describing and characterizing an input-output relationship.

Difficulty level: Beginner
Duration: 1:35:33
Lecture title:

This tutorial talks about how to upload and version your data in OpenNeuro.org

Difficulty level: Beginner
Duration: 5:36
Speaker: : Unknown
Lecture title:

This tutorial shows how to share your data in OpenNeuro.org

Difficulty level: Beginner
Duration: 1:22
Speaker: : Unknown
Lecture title:

This tutorial shows how to run analysis in OpenNeuro.org

Difficulty level: Beginner
Duration: 2:26
Speaker: : Unknown
Lecture title:

Inferring results from incomplete data

Difficulty level: Beginner
Duration: 4:28
Speaker: : Barton Poulson
Lecture title:

Finding parameter values, confidence intervals.

Difficulty level: Beginner
Duration: 08:04
Speaker: : Barton Poulson
Lecture title:

Methods for estimating parameters.

Difficulty level: Beginner
Duration: 5:29
Speaker: : Barton Poulson
Lecture title:

Measuring the correspondece between data and model.

Difficulty level: Beginner
Duration: 3:30
Speaker: : Barton Poulson
Lecture title:

How to choose useful variables.

Difficulty level: Beginner
Duration: 6:15
Speaker: : Barton Poulson
Lecture title:

Common problems in statistical modelling.

Difficulty level: Beginner
Duration: 5:58
Speaker: : Barton Poulson
Lecture title:

Common problems in statistical modelling.

Difficulty level: Beginner
Duration: 3:50
Speaker: : Barton Poulson
Lecture title:

You don't have to be a wizard to do statistics!

Difficulty level: Beginner
Duration: 3:18
Speaker: : Barton Poulson
Lecture title:

Overview of possible follow up courses and subjects from the same publisher.

Difficulty level: Beginner
Duration: 1:43
Speaker: : Barton Poulson