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9	9	= (% style="color:#000000" %)Brain Complexity and Consciousnesss(%%) =
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18		-== **Introduction** ==
	16	+Understanding consciousness is one of the grand challenges of contemporary neuroscience.
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21		-**Understanding consciousness is one of the grand challenges of contemporary neuroscience.**
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23	23	* Why does it fade and recover during transitions across physiological, pharmacological and pathological brain states?
24	24	* How can we determine whether a behaviorally unresponsive patient is conscious?
25	25	* Can we quantify consciousness levels?
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35	35	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?** =
	37	+= 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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