Last modified by pierstanpaolucci on 2023/06/29 18:29
From version 11.1
edited by pierstanpaolucci
on 2021/09/21 15:43
Change comment: There is no comment for this version
To version 7.1
edited by cristianocapone
on 2021/09/21 12:39
Change comment: There is no comment for this version

Summary

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1 -XWiki.pierstanpaolucci
1 +XWiki.cristianocapone
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14 14  (((
15 15  (% class="col-xs-12 col-sm-8" %)
16 16  (((
17 -= Open the Lab link on the left to launch the interactive simulation =
17 += What can I find here? =
18 18  
19 -How the same network can generate different brain states with their specific propagation patterns and rhythms?
19 +* Notice how the table of contents on the right
20 +* is automatically updated
21 +* to hold this page's headers
20 20  
21 -In this Jupyter Lab 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.
23 += Who has access? =
22 22  
23 -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.
24 -
25 -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).
26 -
27 -The experimental data set from which the model has been inferred has been provided by LENS and it is available in the EBRAINS KG (2)
28 -
29 -(1) Capone, C. et al. (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]]
30 -
31 -(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]]
32 -
33 -= =
25 +Describe the audience of this collab.
34 34  )))
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