Summary

• Page properties (1 modified, 0 added, 0 removed)

Details

Page properties

Content

...	...	@@ -14,18 +14,16 @@
14	14	(((
15	15	= What can I find here? =
16	16
17		-This collab contains a part of the materials which will be used during the hands-on session on 4 June 2024, during EBRAINS Brain Simulation Workshop taking place in Bilbao: [[https:~~/~~/www.bcamath.org/events/ebrains2024/en/>>url:https://www.bcamath.org/events/ebrains2024/en/]].
	17	+This collab contains the materials which will be used during the hands-on session on 4 June 2024, during EBRAINS Brain Simulation Workshop taking place in Bilbao: [[https:~~/~~/www.bcamath.org/events/ebrains2024/en/>>https://www.bcamath.org/events/ebrains2024/en/]].
18	18
19		-The objective of this hands-on session is to create a familiarity of TVB for the participant by performing simulations related to different brain states and epileptic dynamics. At the beginning, we will describe the TVB framework and its building blocks. Then, in Part I, we will see a mean-field framework modeling neuronal population dynamics. We will use this framework to simulate brain states at population level. In Part II, we will see a generalization of this framework to the whole-brain scale via TVB. In Part III, we will see an example epileptic scenario of seizure propagation by using TVB. Part I and Part II can be found in the drive, and they are accessible in the lab. For Part III, we refer to the following collab: [[https:~~/~~/wiki.ebrains.eu/bin/view/Collabs/ebrains-baltic-nordic-school-2024/>>https://wiki.ebrains.eu/bin/view/Collabs/ebrains-baltic-nordic-school-2024/]].
	19	+The objective of this hands-on session is to create a familiarity of TVB for the participant by performing simulations related to different brain states and epileptic dynamics. At the beginning, we will describe the TVB framework and its building blocks. Then, in Part I, we will see a mean-field framework modeling neuronal population dynamics. We will use this framework to simulate brain states at population level. In Part II, we will see a generalization of this framework to the whole-brain scale via TVB. In Part III, we will see an example epileptic scenario of seizure propagation by using TVB. All these parts can be found in the drive, and they are accessible in the lab.
20	20
21	21	= Requirements =
22	22
23	23	Access to the notebooks and materials requires to have an EBRAINS account.
24	24
25		-Participants are also suggested to download the materials in case of connection issues. The material and notebooks can be downloaded by clicking on "Drive" on the left hand side. Once downloaded, the participants are also suggested to run the cells with the title "Initialization" in "mainAdEx.ipynb" (PART I) and in "Human_TVB_AdEx.ipynb" (PART II) to see and install the necessary packages/dependencies. If the notebooks are run locally, then "%matplotlib widget" should be disabled by commenting it in the relevant cells.
	25	+Participants are also suggested to download the materials and install TVB locally in case of connection issues. The material and notebooks can be downloaded by clicking on "Drive" on the left hand side. If the notebooks are locally run, then %matplotlib widget should be disabled by commenting it. The TVB installation can be done via the following link: [[https:~~/~~/www.thevirtualbrain.org/tvb/zwei/brainsimulator-software>>https://www.thevirtualbrain.org/tvb/zwei/brainsimulator-software]] .
26	26
27		-TVB installation can be done via the following link: [[https:~~/~~/www.thevirtualbrain.org/tvb/zwei/brainsimulator-software>>url:https://www.thevirtualbrain.org/tvb/zwei/brainsimulator-software]] . Once it is installed, it can be used for a variety of simulations found in EBRAINS Collab.
28		-
29	29	= References =
30	30
31	31	(((
...	...	@@ -32,8 +32,11 @@
32	32	* Baspinar, E., Cecchini, G., DePass, M., Andujar, M., Pani, P., Ferraina, S., Moreno-Bote, R., Cos, I., Destexhe, A. (2023). [[A biologically plausible decision-making model based on interacting cortical columns>>https://www.biorxiv.org/content/10.1101/2023.02.28.530384v2]]. bioRxiv, 2023-02.
33	33	* Di Volo, M., Romagnoni, A., Capone, C., Destexhe, A. (2019). [[Biologically realistic mean-field models of conductance-based networks of spiking neurons with adaptation>>https://direct.mit.edu/neco/article-abstract/31/4/653/8461/Biologically-Realistic-Mean-Field-Models-of?redirectedFrom=fulltext]]. Neural Computation, 31(4), 653-680.
34	34	* Goldman, J. S., Kusch, L., Aquilue, D., Yalçınkaya, B. H., Depannemaecker, D., Ancourt, K., Nghiem, T. E., Jirsa, V., Destexhe, A. (2023). [[A comprehensive neural simulation of slow-wave sleep and highly responsive wakefulness dynamics>>https://www.frontiersin.org/articles/10.3389/fncom.2022.1058957/full]]. Frontiers in Computational Neuroscience, 16, 1058957.
	33	+* Lavanga M., Stumme J., Yalcinkaya B. H., Fousek J., Jockwitz C., Sheheitli H., Bittner N., Hashemi M., Petkoski S., Caspers S., Jirsa V. (2023). [[The virtual aging brain: Causal inference supports interhemispheric dedifferentiation in healthy aging>>url:https://www.sciencedirect.com/science/article/pii/S1053811923005542]]. NeuroImage, 283, 120403.
35	35	* Sacha, M., Goldman, J. S., Kusch, L., Destexhe, A. (2024). [[Asynchronous and slow-wave oscillatory states in connectome-based models of mouse, monkey and human cerebral cortex>>https://www.mdpi.com/2076-3417/14/3/1063]]. Applied Sciences, 14(3), 1063.
36	36	* Sanz-Leon P., Knock S. A., Spiegler A., Jirsa V. K. (2015). [[Mathematical framework for large-scale brain network modeling in The Virtual Brain>>url:https://www.sciencedirect.com/science/article/pii/S1053811915000051]]. NeuroImage, 111, 385-430.
	36	+* Schirner M., Domide L., Perdikis D., Triebkorn P., Stefanovski L., Pai R., Prodan P., Valean B., Palmer J., Langford C., Blickensdörfer A. (2022). [[Brain simulation as a cloud service: The Virtual Brain on EBRAINS>>url:https://www.sciencedirect.com/science/article/pii/S1053811922001021]]. NeuroImage, 251, 118973.
	37	+* Wang H. E., Triebkorn P., Breyton M., Dollomaja B., Lemarechal J. D., Petkoski S., Sorrentino P., Depannemaecker D., Hashemi M., Jirsa V. K. (2024). [[Virtual brain twins: from basic neuroscience to clinical use>>url:https://academic.oup.com/nsr/article/11/5/nwae079/7616087]]. National Science Review, 11(5), nwae079.
37	37	)))
38	38
39	39	(((