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This lecture (15/15) is part of the Computational Modeling of Neuronal Plasticity Course that aims to teach users how to build a mathematical model of a neuron, its inputs, and its neuronal plasticity mechanisms, by writing your own Python program. This lecture provides users with a brief video introduction to the concepts that serves as a companion to the lecture notes and solution figures.

Authors: Florence I. Kleberg and Prof. Jochen Triesch.

Difficulty level: Intermediate
Duration: 0:37

An overview of The Virtual Brain integrated workflows on EBRAINS.

Difficulty level: Intermediate
Duration: 0:32:21
Speaker: : Petra Ritter

Walk through of the Image Processing Pipeline, an integral part of the TVB on EBRAINS integrated workflows.

Difficulty level: Intermediate
Duration: 0:24:31
Speaker: : Michael Schirner

An overview of The Virtual Brain simulator and it's integration into the Human Brain Project Cloud and EBRAINS infrastructure.

Difficulty level: Intermediate
Duration: 0:24:55
Speaker: : Lia Domide

An overview of the EBRAINS integrated Fast TVB, a C implementation of TVB that is orders of magnitude faster than the original Python TVB, and capable of performing parallelizable simulations in the cloud.

Difficulty level: Intermediate
Duration: 0:08:38
Speaker: : Michael Schirner

An overview of the multi-scale co-simulation between TVB-NEST and Elephant on the EBRAINS infrastructure.

Difficulty level: Intermediate
Duration: 0:06:05
Speaker: : Wouter Klijn

An overview of the process of constructing models for TVB automatically on the EBRAINS infrastructure.

Difficulty level: Intermediate
Duration: 0:23:11