Last modified by arnaumanasanch on 2023/07/24 11:21
From version 26.1
edited by arnaumanasanch
on 2023/03/15 10:06
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To version 22.1
edited by arnaumanasanch
on 2023/03/15 10:04
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2 2  (((
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5 -= [[image:image-20230315100457-1.png||height="196" width="464"]] =
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7 -== (% style="color:#000000" %)Showcase 3(%%) ==
8 -
9 -== (% style="color:#000000" %)Brain Complexity and Consciousnesss(%%) ==
7 += (% style="color:#000000" %)Brain Complexity and Consciousnesss(%%) =
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18 -== **Introduction** ==
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20 20  (% class="wikigeneratedid" style="text-align: justify;" %)
21 -**Understanding consciousness is one of the grand challenges of contemporary neuroscience.**
16 +Understanding consciousness is one of the grand challenges of contemporary neuroscience.
22 22  
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?
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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:
36 36  
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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]]
39 39  
40 -= **What can you find in this Collab?** =
37 += What can you find in this Collab? =
41 41  
42 42  This Collaboratory provides three Python notebooks that can be executed within the lab.ebrains.eu environment.
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1 -XWiki.arnaumanasanch
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