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8		-= (% style="color:#000000" %)Showcase 3(%%) =
	7	+== (% style="color:#000000" %)Showcase 3(%%) ==
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10		-= (% style="color:#000000" %)Brain Complexity and Consciousnesss(%%) =
	9	+== (% style="color:#000000" %)Brain Complexity and Consciousnesss(%%) ==
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	18	+== **Introduction** ==
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19		-Understanding consciousness is one of the grand challenges of contemporary neuroscience.
	21	+**Understanding consciousness is one of the grand challenges of contemporary neuroscience.**
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21	21	* Why does it fade and recover during transitions across physiological, pharmacological and pathological brain states?
22	22	* How can we determine whether a behaviorally unresponsive patient is conscious?
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33	33	Here we demonstrate that the implementation of AdEx mean-field models into TVB leads to a framework where one can evaluate the effect of “microscopic” parameters, such as spike-frequency adaptation, on the “macroscopic” behavior at the level of the whole brain, such as the emergence of:
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37	37	|**ASYNCHRONOUS DYNAMICS (wake-like)**|**SYNCHRONIZED SLOW-WAVES (sleep-like)**
38	38	|[[image:image-20230315095754-3.png]]|[[image:image-20230315095658-2.png]]
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40		-= What can you find in this Collab? =
	40	+= **What can you find in this Collab?** =
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42	42	This Collaboratory provides three Python notebooks that can be executed within the lab.ebrains.eu environment.
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