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

Course:

This primer on optogenetics primer discusses how to manipulate neuronal populations with light at millisecond resolution and offers possible applications such as curing the blind and "playing the piano" with cortical neurons.

Difficulty level: Beginner

Duration: 59:06

Speaker: : Clay Reid

Course:

Introduction to reproducible research. The lecture provides an overview of the core skills and practical solutions required to practice reproducible research. This lecture was part of the 2018 Neurohackademy, a 2-week hands-on summer institute in neuroimaging and data science held at the University of Washington eScience Institute.

Difficulty level: Beginner

Duration: 1:25:17

Speaker: : Fernando Perez

Course:

This lecture was part of the 2019 Neurohackademy, a 2-week hands-on summer institute in neuroimaging and data science held at the University of Washington eScience Institute.

Difficulty level: Beginner

Duration: 1:03:07

Speaker: : Russell Poldrack

Course:

This lecture was part of the 2019 Neurohackademy, a 2-week hands-on summer institute in neuroimaging and data science held at the University of Washington eScience Institute.

Difficulty level: Beginner

Duration: 55:39

Speaker: : Angela Laird

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

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