Last modified by arnaumanasanch on 2023/07/24 11:21

From version 22.1
edited by arnaumanasanch
on 2023/03/15 10:04
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To version 25.1
edited by arnaumanasanch
on 2023/03/15 10:06
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5 += [[image:image-20230315100457-1.png||height="196" width="464"]] =
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5 5  = (% style="color:#000000" %)Showcase 3(%%) =
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7 7  = (% style="color:#000000" %)Brain Complexity and Consciousnesss(%%) =
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16 -Understanding consciousness is one of the grand challenges of contemporary neuroscience.
18 +== **Introduction** ==
17 17  
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21 +**Understanding consciousness is one of the grand challenges of contemporary neuroscience.**
22 +
18 18  * Why does it fade and recover during transitions across physiological, pharmacological and pathological brain states?
19 19  * How can we determine whether a behaviorally unresponsive patient is conscious?
20 20  * Can we quantify consciousness levels?
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30 30  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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34 34  |**ASYNCHRONOUS DYNAMICS (wake-like)**|**SYNCHRONIZED SLOW-WAVES (sleep-like)**
35 35  |[[image:image-20230315095754-3.png]]|[[image:image-20230315095658-2.png]]
36 36  
37 -= What can you find in this Collab? =
40 += **What can you find in this Collab?** =
38 38  
39 39  This Collaboratory provides three Python notebooks that can be executed within the lab.ebrains.eu environment.
40 40  
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1 +XWiki.arnaumanasanch
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