Summary

• Page properties (1 modified, 0 added, 0 removed)

Details

Page properties

Content

...	...	@@ -14,20 +14,9 @@
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	+(% class="wikigeneratedid" %)
	18	+= Open the Lab to launch the interactive simulation =
18	18
19		-How the same network can generate different brain states with their specific propagation patterns and rhythms?
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.
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
30		-
31	31	= =
32	32	)))
33	33