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Wiki source code of The Virtual Brain

Version 106.1 by abonard on 2025/06/13 16:12
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abonard 3.1 3 * ((( ==== **[[Beginner >>||anchor = "HBeginner-1"]]** ==== )))
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abonard 103.1 5 * ((( ==== **[[Advanced >>||anchor = "HAdvanced-1"]]** ==== )))
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abonard 3.1 7 === **Beginner** ===
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abonard 3.1 9 === [[GUI tutorials – Getting Started>>https://docs.thevirtualbrain.org/tutorials/tutorial_0_GettingStarted.html#tutorial-0-gettingstarted||rel=" noopener noreferrer" target="_blank"]] ===
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abonard 3.1 11 **Level**: beginner(%%) **Type**: user documentation
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13 This tutorial presents the basic steps to upload a project, and share data with other users and/or link data to other TVB projects. After this tutorial you should be able to import a new dataset, create, import, export and delete a project and share your data with among your projects or with a colleague
abonard 100.1 14 === [[My first simulation with The Virtual Brain>>https://youtu.be/326iA14UVzY||rel=" noopener noreferrer" target="_blank"]] ===
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abonard 100.1 16 **Level**: beginner(%%) **Type**: video tutorial
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18 This presentation by Paul Triebkorn is part of the TVB Node 10 series, a 4 day workshop dedicated to learning about The Virtual Brain, brain imaging. brain simulation. personalised brain models, TVB use cases, etc.
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20 <iframe width="560" height="315" src="https://www.youtube-nocookie.com/embed/326iA14UVzY" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>
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abonard 101.1 22 === [[Population Models in The Virtual Brain (TVB) and the Phase Plane>>https://youtu.be/Zo0HGwLHN3E||rel=" noopener noreferrer" target="_blank"]] ===
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abonard 101.1 24 **Level**: beginner(%%) **Type**: video tutorial
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26 This presentation by Dr. Michael Schirner is part of the TVB Node 10 series, a 4 day workshop dedicated to learning about The Virtual Brain, brain imaging. brain simulation. personalised brain models, TVB use cases, etc.
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28 <iframe width="560" height="315" src="https://www.youtube-nocookie.com/embed/Zo0HGwLHN3E" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>
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abonard 102.1 30 === [[GUI tutorials – Building Your Own Brain Network Model>>https://docs.thevirtualbrain.org/tutorials/tutorial_1_BuildingYourOwnBrainNetworkModel.html#tutorial-1-buildingyourownbrainnetworkmodel||rel=" noopener noreferrer" target="_blank"]] ===
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abonard 102.1 32 **Level**: beginner(%%) **Type**: user documentation
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34 This tutorial presents the basic anatomy of a brain network model at the region level using The Virtual Brain’s (TVB’s) graphical interface. You are not expected to launch all the simulations.
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36 We will be using the Default Project that should be imported when you start TVB. We’ll only go through the necessary steps required to reproduce some simulations. You can always start over, click along and/or try to change parameters.
abonard 103.1 37 === **Advanced** ===
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abonard 103.1 39 === [[The Bayesian Virtual Epileptic Patient (BVEP)>>https://youtu.be/4XghviA_1Uk||rel=" noopener noreferrer" target="_blank"]] ===
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41 **Level**: advanced(%%) **Type**: video tutorial
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43 Meysam Hashemi in his tutorial touches upon bayesian model inversion, BVEP workflow, Jupyter notebook examples, Python & Stan interfaces, PyMC3 example and comparing Stan & PyMC3 accuracy.
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45 <iframe width="560" height="315" src="https://www.youtube-nocookie.com/embed/4XghviA_1Uk" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>
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abonard 104.1 47 === [[GUI tutorials – Modeling Epilepsy>>https://docs.thevirtualbrain.org/tutorials/tutorial_3_ModelingEpilepsy.html#tutorial-3-modelingepilepsy||rel=" noopener noreferrer" target="_blank"]] ===
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abonard 104.1 49 **Level**: advanced(%%) **Type**: -
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51 The main goal of this tutorial is to provide a clear understanding of how we can reproduce clinically relevant senarios such as the modelisation of propagation of an epileptic seizure in the human brain, electrical stimulation of a brain region that can trigger a seizure, or surgical resection of brain regions.
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53 We will be using the ModelingEpilepsy project. We’ll only go through the necessary steps required to reproduce these simulations, along with the relevant outline. You can always start over, click along and/or try to change parameters. We will use the default subject connectivity matrix and surface.
abonard 105.1 54 === [[GUI tutorials – Resting State Networks>>https://docs.thevirtualbrain.org/tutorials/tutorial_2_RestingStateNetworks.html#tutorial-2-restingstatenetworks||rel=" noopener noreferrer" target="_blank"]] ===
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abonard 105.1 56 **Level**: advanced(%%) **Type**: user documentation
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58 This tutorial will demonstrate a brain network model approach to the human resting state and its network structure, with the goals of understanding how to parametrize a neural mass model, place it in a network context, identify and explore the relevant parameter space, perform extended simulations in the realistic region of parameter space and finally analyze the resulting simulated fMRI BOLD signals to reproduce experimental results published in the resting state literature.
abonard 106.1 59 === [[Integrated workflows: Image processing pipeline>>https://youtu.be/uUkq0K-xM0Q||rel=" noopener noreferrer" target="_blank"]] ===
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abonard 106.1 61 **Level**: advanced(%%) **Type**: video tutorial
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63 Michael Schirner in this tutorial is going over the TVB processing pipelines with KG annotated outputs, the Software architecture, the Pipeline APIs, the Software maturity, integration, testing, versioning & deployment as well as the MINDS format, the Computing and Security requirements.
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65 <iframe width="560" height="315" src="https://www.youtube-nocookie.com/embed/uUkq0K-xM0Q" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>
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