Last modified by pierstanpaolucci on 2023/06/29 18:29
From version 37.1
edited by cristianocapone
on 2021/10/11 09:57
Change comment: Uploaded new attachment "snap_1.png", version {1}
To version 56.1
edited by pierstanpaolucci
on 2023/06/29 18:29
Change comment: There is no comment for this version

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  
... ... @@ -13,12 +13,25 @@
13 13  (((
14 14  **How the same network can generate different brain states with their specific propagation patterns and rhythms?**
15 15  
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.
19 +In this Jupyter Lab environment, the user can interactively model a non stationary neuromodulation by changing the adaptation and external current parameters and observe in real-time the emergence of different categories of slow-wave wave-propagation patterns (spontaneous and evoked) 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 +(% style="color:#e74c3c" %)[[image:Schermata 2022-05-18 alle 15.26.38.png]]
19 19  
20 20  
24 +[[image:Schermata 2022-05-18 alle 15.33.38.png]]
21 21  
26 +
27 +**Stimulus OFF (Spontaneous)**
28 +
29 +
30 +(% style="color:#e74c3c" %)[[image:Schermata 2022-05-18 alle 15.34.01.png]]
31 +
32 +**Stimulus ON (Stimulated)**
33 +
34 +[[image:Schermata 2022-05-18 alle 15.26.56.png||alt="snap_2.png"]]
35 +
36 +**Acknowledgment**
37 +
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).
... ... @@ -45,7 +45,7 @@
45 45  
46 46  **References**
47 47  
48 -(1) Cristiano Capone, Chiara De Luca, Giulia De Bonis, Elena Pastorelli, Anna Letizia Allegra Mascaro, Francesco Resta, Francesco Pavone, Pier Stanislao Paolucci (2021) “Simulations Approaching Data: Cortical Slow Waves in Inferred Models of the Whole Hemisphere of Mouse” arXiv:2104.07445 [[https:~~/~~/arxiv.org/abs/2104.07445>>https://arxiv.org/abs/2104.07445]]
64 +(1) Cristiano Capone, Chiara De Luca, Giulia De Bonis, Robin Gutzen, Irene Bernava, Elena Pastorelli, Francesco Simula, Cosimo Lupo, Leonardo Tonielli, Anna Letizia Allegra Mascaro, Francesco Resta, Francesco Pavone, Micheal Denker, Pier Stanislao Paolucci (2023) “Simulations approaching data: cortical slow waves in inferred models of the whole hemisphere of mouse.” **Communications Biology**, Vol. 6, No. 1. [[https:~~/~~/dx.doi.org/10.1038/s42003-023-04580-0>>]]
49 49  
50 50  (2) Resta, F., Allegra Mascaro, A. L., & Pavone, F. (2020). //Study of Slow Waves (SWs) propagation through wide-field calcium imaging of the right cortical hemisphere of GCaMP6f mice// [Data set]. EBRAINS. [[DOI: 10.25493/3E6Y-E8G>>url:https://doi.org/10.25493%2F3E6Y-E8G]]
51 51  
... ... @@ -67,7 +67,6 @@
67 67  {{/box}}
68 68  
69 69  
70 -
71 71  
72 72  )))
73 73  )))
Schermata 2022-05-18 alle 15.26.38.png
Author
... ... @@ -1,0 +1,1 @@
1 +XWiki.cristianocapone
Size
... ... @@ -1,0 +1,1 @@
1 +36.3 KB
Content
Schermata 2022-05-18 alle 15.26.56.png
Author
... ... @@ -1,0 +1,1 @@
1 +XWiki.cristianocapone
Size
... ... @@ -1,0 +1,1 @@
1 +123.0 KB
Content
Schermata 2022-05-18 alle 15.33.38.png
Author
... ... @@ -1,0 +1,1 @@
1 +XWiki.cristianocapone
Size
... ... @@ -1,0 +1,1 @@
1 +555.7 KB
Content
Schermata 2022-05-18 alle 15.34.01.png
Author
... ... @@ -1,0 +1,1 @@
1 +XWiki.cristianocapone
Size
... ... @@ -1,0 +1,1 @@
1 +123.3 KB
Content
snap_2.png
Author
... ... @@ -1,0 +1,1 @@
1 +XWiki.cristianocapone
Size
... ... @@ -1,0 +1,1 @@
1 +681.2 KB
Content
Collaboratory.Apps.Collab.Code.CollabClass[0]
owner
... ... @@ -1,0 +1,1 @@
1 +pierstanpaolucci