Last modified by pierstanpaolucci on 2023/06/29 18:29
From version 39.1
edited by cristianocapone
on 2021/10/11 09:57
Change comment: Uploaded new attachment "snap_1.png", version {1}
To version 45.1
edited by pierstanpaolucci
on 2022/03/22 18:09
Change comment: Migrated property [owner] from class [Collaboratory.Apps.Collab.Code.CollabClass]

Summary

Details

Page properties
Author
... ... @@ -1,1 +1,1 @@
1 -XWiki.cristianocapone
1 +XWiki.pierstanpaolucci
Content
... ... @@ -3,7 +3,10 @@
3 3  (% class="container" %)
4 4  (((
5 5  (% class="lead" id="HInteractiveExplorationofBrainStatesandSpatio-TemporalActivityPatternsinData-ConstrainedSimulations" %)
6 -Open the Lab link on the left to explore brain states and spatio-temporal cortical activity patterns on your own.
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...
7 +
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.
7 7  )))
8 8  )))
9 9  
... ... @@ -15,10 +15,12 @@
15 15  
16 16  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.
17 17  
18 -[[image:fig_live_poster_2021.png]]
21 +[[image:snap_1.png||height="364" width="658"]]
19 19  
20 20  
24 +[[image:snap_2.png||height="237" width="606"]]
21 21  
26 +
22 22  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.
23 23  
24 24  The connectivity of the model was inferred from cortical activity acquired using GECI imaging technique. Even if the connectivity of the model was inferred from a single brain-state, the neuromodulated model supports the emergence of a rich dynamic repertoire of spatio-temporal propagation patterns, from those corresponding to deepests levels of anesthesia (spirals) to classical postero-anterior and rostro-caudal waves up to the transition to asynchronous activity, with the dissolution of the slow-wave features (1).
... ... @@ -67,7 +67,6 @@
67 67  {{/box}}
68 68  
69 69  
70 -
71 71  
72 72  )))
73 73  )))