Changes for page TVB EBRAINS Baltic-Nordic school 2024
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... ... @@ -2,9 +2,9 @@ 2 2 ((( 3 3 (% class="container" %) 4 4 ((( 5 -= Buildingpersonalized brainnetwork modelswithTVB=5 += My Collab's Extended Title = 6 6 7 - SpasePetkoski, Damien Depannemaecker and PierpaoloSorrentino7 +My collab's subtitle 8 8 ))) 9 9 ))) 10 10 ... ... @@ -14,39 +14,14 @@ 14 14 ((( 15 15 = What can I find here? = 16 16 17 -This collab contains access to the notebooks and reading materials that will be used during the EBRAINS Baltic-Nordic summer school 2024 [[https:~~/~~/lsmu.lt/en/events/ebrains/>>https://lsmu.lt/en/events/ebrains/]]. 17 +* Notice how the table of contents on the right 18 +* is automatically updated 19 +* to hold this page's headers 18 18 19 - Theobjective is to give to the participants an overview to building whole-brain network models with TVB.We will begin withthe [[First stepsofTVB>>url:https://lab.ch.ebrains.eu/hub/user-redirect/lab/tree/shared/TVB%20tutorial%3A%20first%20steps/tvb_tutorials/1_TVB_First_steps.ipynb||style="background-color:rgb(255, 255, 255);"]], where we will describe the building blocks of TVB through the paradigm of resting state activity. This will be followed by [[Modelling Epilepsy>>url:https://lab.ch.ebrains.eu/hub/user-redirect/lab/tree/shared/TVB%20tutorial%3A%20first%20steps/tvb_tutorials/2_TVB_Modelling_Epilepsy.ipynb||style="background-color:rgb(255, 255, 255);"]], where seizure propagation will be modeled. Finally, there is one tutorial describing deeper analysis of [[BOLD monitors>>url:https://lab.ch.ebrains.eu/hub/user-redirect/lab/tree/shared/TVB%20tutorial%3A%20first%20steps/tvb_tutorials/3_TVB_BOLD_digging_deeper.ipynb||style="background-color: rgb(255, 255, 255);"]]. These can all be found in the following EBRAINS lab:21 += Who has access? = 20 20 21 -[[https:~~/~~/lab.ch.ebrains.eu/hub/user-redirect/lab/tree/shared/TVB%20tutorial%3A%20first%20steps/tvb_tutorials>>url:https://lab.ch.ebrains.eu/hub/user-redirect/lab/tree/shared/TVB%20tutorial%3A%20first%20steps/tvb_tutorials]] 22 - 23 -= Requirements = 24 - 25 -School participants should have EBRAINS accounts to be able to access and work on the tutorials. 26 - 27 -They are also advised to install TVB locally in case of connection issues. After installation from the following link: https:~/~/www.thevirtualbrain.org/tvb/zwei/brainsimulator-software users can access many more tutorials. 28 - 29 -= Other tutorials = 30 - 31 -In addition to these notebooks, we also refer to the readers to the collab for the Showcase 1 of HBP: "Degeneracy in neuroscience - when is Big Data big enough" 32 - 33 -[[https:~~/~~/wiki.ebrains.eu/bin/view/Collabs/sga3-d1-5-showcase-1/>>url:https://wiki.ebrains.eu/bin/view/Collabs/sga3-d1-5-showcase-1/]] 34 - 35 -= References = 36 - 37 -* ((( 38 -Sanz-Leon P, Knock SA, Spiegler A, Jirsa VK. [[Mathematical framework for large-scale brain network modeling in The Virtual Brain>>https://www.sciencedirect.com/science/article/pii/S1053811915000051]]. Neuroimage. 2015 May 1;111:385-430. 23 +Describe the audience of this collab. 39 39 ))) 40 -* ((( 41 -Schirner M, Domide L, Perdikis D, Triebkorn P, Stefanovski L, Pai R, Prodan P, Valean B, Palmer J, Langford C, Blickensdörfer A. [[Brain simulation as a cloud service: The Virtual Brain on EBRAINS>>https://www.sciencedirect.com/science/article/pii/S1053811922001021]]. NeuroImage. 2022 May 1;251:118973. 42 -))) 43 -* ((( 44 -Lavanga M, Stumme J, Yalcinkaya BH, Fousek J, Jockwitz C, Sheheitli H, Bittner N, Hashemi M, Petkoski S, Caspers S, Jirsa V. [[The virtual aging brain: Causal inference supports interhemispheric dedifferentiation in healthy aging>>https://www.sciencedirect.com/science/article/pii/S1053811923005542]]. NeuroImage. 2023 Dec 1;283:120403. 45 -))) 46 -* ((( 47 -Wang HE, Triebkorn P, Breyton M, Dollomaja B, Lemarechal JD, Petkoski S, Sorrentino P, Depannemaecker D, Hashemi M, Jirsa VK. [[Virtual brain twins: from basic neuroscience to clinical use>>https://academic.oup.com/nsr/article/11/5/nwae079/7616087]]. National Science Review. 2024 May;11(5):nwae079. 48 -))) 49 -))) 50 50 51 51 52 52 (% class="col-xs-12 col-sm-4" %)
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