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

This lecture covers modeling the neuron in silicon, modeling vision and audition and sensory fusion using a deep network.

Difficulty level: Beginner

Duration: 1:32:17

Speaker: : Shih-Chii Liu

Presentation of a simulation software for spatial model neurons and their networks designed primarily for GPUs.

Difficulty level: Beginner

Duration: 21:15

Speaker: : Tadashi Yamazaki

Presentation of past and present neurocomputing approaches and hybrid analog/digital circuits that directly emulate the properties of neurons and synapses.

Difficulty level: Beginner

Duration: 41:57

Speaker: : Giacomo Indiveri

Presentation of the Brian neural simulator, where models are defined directly by their mathematical equations and code is automatically generated for each specific target.

Difficulty level: Beginner

Duration: 20:39

Speaker: : Giacomo Indiveri

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

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

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