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5	5	= [[image:image-20230315100457-1.png||height="196" width="464"]] =
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7		-== **Showcase 3: **(% style="color:#000000" %)Brain Complexity and Consciousnesss(%%) ==
	7	+(% class="wikigeneratedid" %)
	8	+= (% style="color:#000000" %)Showcase 3(%%) =
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	10	+= (% style="color:#000000" %)Brain Complexity and Consciousnesss(%%) =
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13	13	(% class="col-xs-12 col-sm-8" %)
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16		-== **Introduction** ==
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19		-**Understanding consciousness is one of the grand challenges of contemporary neuroscience.**
	19	+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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32	32	(% class="wikigeneratedid" style="text-align: justify;" %)
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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35	35	|**ASYNCHRONOUS DYNAMICS (wake-like)**|**SYNCHRONIZED SLOW-WAVES (sleep-like)**
36	36	|[[image:image-20230315095754-3.png]]|[[image:image-20230315095658-2.png]]
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38		-= **What can you find in this Collab?** =
	40	+= What can you find in this Collab? =
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40	40	This Collaboratory provides three Python notebooks that can be executed within the lab.ebrains.eu environment.
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