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1 -Showcase 3 Brain Complexity and Consciousness
1 +Showcase 3 Brain Consciousness and Cognition
Content
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2 2  (((
3 3  (% class="container" %)
4 4  (((
5 -= [[image:https://kg.humanbrainproject.eu/static/img/ebrains_logo.svg||alt="EBRAINS Knowledge Graph" height="143" width="423"]](% style="color:#000000" %)Showcase 3(%%) =
5 += My Collab's Extended Title =
6 6  
7 -== (% style="color:#000000" %)Brain Complexity and Consciousnesss(%%) ==
7 +My collab's subtitle
8 8  )))
9 9  )))
10 10  
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12 12  (((
13 13  (% class="col-xs-12 col-sm-8" %)
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15 -(% class="wikigeneratedid" style="text-align: justify;" %)
16 -Understanding consciousness is one of the grand challenges of contemporary neuroscience.
15 += What can I find here? =
17 17  
18 -* Why does it fade and recover during transitions across physiological, pharmacological and pathological brain states?
19 -* How can we determine whether a behaviourally unresponsive patient is conscious?
20 -* Can we quantify consciousness levels?
21 -* Can we use our multi-scale understanding of brain-state transitions to devise strategies to induce recovery of consciousness?
17 +* Notice how the table of contents on the right
18 +* is automatically updated
19 +* to hold this page's headers
22 22  
23 -(% class="wikigeneratedid" style="text-align: justify;" %)
24 -A brain-based quantification of the levels of consciousness is of the utmost importance because, each year, intensive care medicine is called upon to treat millions of patients whose level of consciousness is difficult to assess due to severe brain injuries and disconnections. Detecting the fundamental mechanisms of consciousness is crucial, not only for better diagnosis, but also to guide recovery in an optimal manner.
21 += Who has access? =
25 25  
26 -(% class="wikigeneratedid" style="text-align: justify;" %)
27 -It is also critical to provide tools - such as eye tracking or brain computer interfaces - to provide communication channels for patients who have recovered consciousness but remain disconnected (e.g. locked-in patients). Another relevant requirement comes from the field of anaesthesiology - pharmacologically induced alterations of consciousness – which is used in millions of patients every year. The effectiveness of this approach is limited by a lack of systematic understanding of the underlying circuit mechanisms and a lack of reliable brain-based measures of anaesthesia depth. Therefore, deeper understanding of consciousness also paves the way to engineering novel methods of tracking the results of pharmacological interventions, as well as engineering next-generation, non-pharmaceutical, direct methods for inducing states of non-responsiveness, with potentially fewer side effects and dangers.
28 -
29 -(% class="wikigeneratedid" style="text-align: justify;" %)
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” behaviour at the level of the whole brain, such as the emergence of:
31 -
32 -
33 -
34 -|**ASYNCHRONOUS DYNAMICS (wake-like)**|**SYNCHRONIZED SLOW-WAVES (sleep-like)**
35 -|[[image:image-20230315094108-1.gif||height="289" width="385"]]|[[image:image-20230315094237-2.gif||height="287" width="382"]]
36 -
37 -= What can you find in this Collab? =
38 -
39 -This Collab provides three Python notebooks that can be executed within the lab.ebrains.eu environment.
40 -
41 -Some small GUIs are embedded in the notebooks to facilitate the execution of them. There, you will be able to configure all the different parameters of the simulation, execute the simulations and visualize the obtained results. 
23 +Describe the audience of this collab.
42 42  )))
43 43  
44 44  
45 45  (% class="col-xs-12 col-sm-4" %)
46 46  (((
29 +{{box title="**Contents**"}}
30 +{{toc/}}
31 +{{/box}}
32 +
47 47  
48 48  )))
49 49  )))
General logo_Portrait_Color.svg
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1 -XWiki.arnaumanasanch
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