Changes for page The Virtual Brain

Last modified by abonard on 2025/06/03 11:07
From version 89.1
edited by abonard
on 2025/06/03 11:07
Change comment: There is no comment for this version
To version 87.1
edited by abonard
on 2025/06/03 11:07
Change comment: There is no comment for this version

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101 101  {{html}}
102 102  <iframe width="560" height="315" src="https://www.youtube-nocookie.com/embed/OEOCFyiJgBM" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>
103 103  {{/html}}
104 -=== [[TVB Clinical Applications - Stroke Recovery & Dementia>>https://youtu.be/ZA2UuHZiPnM||rel=" noopener noreferrer" target="_blank"]] ===
105 105  
106 -**Level**: advanced(%%) **Type**: video tutorial
107 -
108 -Randy McIntosh in this tutorial first gives a general introduction to stroke and later covers topics on the TVB simulation workflow for stroke patients, structural reconstruction: “Virtual Brain Transplant”, parameter space exploration and fitting, general introduction to dementia, the TVB simulation workflow for patients with dementia, pre-processing issues related to atrophy, two-stage modeling: sub- and full-brain network model and cognition predictor: model parameters vs. metrics of neuroimaging data.
109 -{{html}}
110 -<iframe width="560" height="315" src="https://www.youtube-nocookie.com/embed/ZA2UuHZiPnM" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>
111 -{{/html}}
112 -=== [[Scripting tutorials – Evoked Responses in the Visual Cortex>>https://nbviewer.thevirtualbrain.org/url/docs.thevirtualbrain.org/tutorials/tutorial_s4_EvokedResponsesInTheVisualCortex.ipynb||rel=" noopener noreferrer" target="_blank"]] ===
113 -
114 -**Level**: advanced(%%) **Type**: interactive tutorial
115 -
116 -We will show you how to set up a connectivity and its attributes, set up a model, choose an integration scheme (noise or not?), build a stimulus, create a simulator instance and finally how to create a run function to perform the simulation.
117 -