Last modified by pierstanpaolucci on 2023/06/29 18:29
From version 43.1
edited by pierstanpaolucci
on 2021/12/23 09:17
Change comment: There is no comment for this version
To version 40.1
edited by cristianocapone
on 2021/10/11 09:58
Change comment: There is no comment for this version

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1 -XWiki.pierstanpaolucci
1 +XWiki.cristianocapone
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3 3  (% class="container" %)
4 4  (((
5 5  (% class="lead" id="HInteractiveExplorationofBrainStatesandSpatio-TemporalActivityPatternsinData-ConstrainedSimulations" %)
6 -(% style="color:#e74c3c" %)NOTE for External Users. You have to (%%)[[(% style="color:#3498db" %)register for an EBRAINS account>>https://ebrains.eu/register]](% style="color:#e74c3c" %) (then, access again to this collab, a Lab link will appear on the left, and you will be able to...
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8 -(% class="lead" %)
9 -(% style="color:#2ecc71" %)Open the Lab link on the left to explore brain states and spatio-temporal cortical activity patterns on your own.
6 +Open the Lab link on the left to explore brain states and spatio-temporal cortical activity patterns on your own.
10 10  )))
11 11  )))
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18 18  
19 19  In this Jupyter Lab environment, the user can interactively change the neuromodulated fatigue parameters and observe in real-time the emergence of different categories of slow-wave wave-propagation patterns and the transition to an asynchronous regime on a columnar mean-field model equipped with lateral connections inferred from experimentally acquired cortical activity.
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27 27  The model displays the dorsal view of a mouse cortical hemisphere sampled by pixels of 100-micron size over a 25 mm2 field of view.