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

Course:

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

Course:

The probability of a hypothesis, given data.

Difficulty level: Beginner

Duration: 7:57

Speaker: : Barton Poulson

Course:

Why math is useful in data science.

Difficulty level: Beginner

Duration: 1:35

Speaker: : Barton Poulson

Course:

Why statistics are useful for data science.

Difficulty level: Beginner

Duration: 4:01

Speaker: : Barton Poulson

Course:

Statistics is exploring data.

Difficulty level: Beginner

Duration: 2:23

Speaker: : Barton Poulson

Course:

Graphical data exploration

Difficulty level: Beginner

Duration: 8:01

Speaker: : Barton Poulson

Course:

Numerical data exploration

Difficulty level: Beginner

Duration: 5:05

Speaker: : Barton Poulson

Course:

Simple description of statistical data.

Difficulty level: Beginner

Duration: 10:16

Speaker: : Barton Poulson

Course:

Basics of hypothesis testing.

Difficulty level: Beginner

Duration: 06:04

Speaker: : Barton Poulson

Course:

Enabling neuroscience research using high performance computing

Difficulty level: Beginner

Duration: 39:27

Speaker: : Subha Sivagnanam

This lecture covers an introduction to neuroinformatics and its subfields, the content of the short course and future neuroinformatics applications.

Difficulty level: Beginner

Duration: 34:27

Speaker: : Marja-Leena Linne

Course:

Introduction to the Mathematics chapter of Datalabcc's "Foundations in Data Science" series.

Difficulty level: Beginner

Duration: 2:53

Speaker: : Barton Poulson

Course:

Primer on elementary algebra

Difficulty level: Beginner

Duration: 3:03

Speaker: : Barton Poulson

Course:

Primer on systems of linear equations

Difficulty level: Beginner

Duration: 5:24

Speaker: : Barton Poulson

Course:

How calculus relates to optimization

Difficulty level: Beginner

Duration: 8:43

Speaker: : Barton Poulson

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