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Lesson 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
Course Name: : The Virtual Brain: Bernstein Centre Lectures 2019
Lesson title:

Explore how to setup an epileptic seizure simulation with the TVB graphical user interface. This lesson will show you how to program the epileptor model in the brain network to simulate a epileptic seizure originating in the hippocampus. It will also show how to upload and view mouse connectivity data, as well as give a short introduction to the python script interface of TVB.

Difficulty level: Intermediate
Duration: : 58:06
Speaker: : Paul Triebkorn
Course Name: : The Virtual Brain Node #6 Workshop
Lesson 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
Course Name: : TVB Made Easy
Lesson title:

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
Course Name: : INCF Short course: Introduction to neuroinformatics
Lesson title:

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
Course Name: : Neuromorphic computing and challenges
Lesson title:

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
Course Name: : Neuromorphic computing and challenges
Lesson title:

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 Name: : Neuromorphic computing and challenges
Lesson title:

The lecture covers a brief introduction to neuromorphic engineering, some of the neuromorphic networks that the speaker has developed, and their potential applications, particularly in machine learning.

Difficulty level: Intermediate
Duration: : 19:57
Course Name: : Neuromorphic computing and challenges
Lesson title:

Introductory presentation on how data science can help with scientific reproducibility.

Difficulty level: Beginner
Duration: :
Speaker: : Michel Dumontier
Course Name: : Data science and reproducibility
Lesson title:

How does the brain learn? This lecture discusses the roles of development and adult plasticity in shaping functional connectivity.

Difficulty level: Beginner
Duration: : 1:08:45
Speaker: : Clay Reid
Course Name: : Coding and Vision 101