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 structured data, databases, federating neuroscience-relevant databases, ontologies.

Difficulty level: Beginner

Duration: 1:30:45

Speaker: : Maryann Martone

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

Difficulty level: Beginner

Duration: 1:35:33

Speaker: : Jonathan D. Victor

Course:

Part 1 of 2 of a tutorial on statistical models for neural data

Difficulty level: Beginner

Duration: 1:45:48

Speaker: : Jonathan Pillow

Course:

Part 2 of 2 of a tutorial on statistical models for neural data.

Difficulty level: Beginner

Duration: 1:50:31

Speaker: : Jonathan Pillow

Course:

From the retina to the superior colliculus, the lateral geniculate nucleus into primary visual cortex and beyond, this lecture gives a tour of the mammalian visual system highlighting the Nobel-prize winning discoveries of Hubel & Wiesel.

Difficulty level: Beginner

Duration: 56:31

Speaker: : Clay Reid

Course:

From Universal Turing Machines to McCulloch-Pitts and Hopfield associative memory networks, this lecture explains what is meant by computation.

Difficulty level: Beginner

Duration: 55:27

Speaker: : Christof Koch

Ion channels and the movement of ions across the cell membrane.

Difficulty level: Beginner

Duration: 25:51

Speaker: : Carl Petersen

Course:

The "connectome" is a term, coined in the past decade, that has been used to describe more than one phenomenon in neuroscience. This lecture explains the basics of structural connections at the micro-, meso- and macroscopic scales.

Difficulty level: Beginner

Duration: 1:13:16

Speaker: : Clay Reid

Course:

Introduction to the course Cellular Mechanisms of Brain Function.

Difficulty level: Beginner

Duration: 12:20

Speaker: : Carl Petersen

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