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25	25	Then, there is one tutorial describing a deeper analysis of [[BOLD monitors>>https://lab.ch.ebrains.eu/hub/user-redirect/lab/tree/shared/TVB%20EBRAINS%20Baltic-Nordic%20school%202024/3_TVB_BOLD_digging_deeper.ipynb||style="background-color: rgb(255, 255, 255);"]].
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27		-There is also a fourth tutorial which describes application of a fast back-end implementation of the Montbrio-Pazo-Roxin model used for modeling [[resting state fMRI >>https://lab.jsc.ebrains.eu/hub/user-redirect/lab/tree/shared/TVB%20EBRAINS%20Baltic-Nordic%20school%202024/MPR_rs.ipynb]]. This is a based on a previous showcase [[Degeneracy in neuroscience>>https://wiki.ebrains.eu/bin/view/Collabs/sga3-d1-5-showcase-1/]],  which described the interpersonal variability analyzed by the [[Virtual Ageing Brain>>https://www.sciencedirect.com/science/article/pii/S1053811923005542?via%3Dihub]] study.
	27	+Finally, the collab contains one tutorial where a [[Bayesian approach>>https://wiki.ebrains.eu/bin/view/Collabs/ebrains-task-3-3/Drive#notebooks/EITN_tutorial||style="background-color: rgb(255, 255, 255);"]] is used on synthetic data to infer the posterior of the parameters foir a single brain region.
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30		-Finally, the collab contains one tutorial where a [[Bayesian approach>>https://wiki.ebrains.eu/bin/view/Collabs/ebrains-task-3-3/Drive#notebooks/EITN_tutorial||style="background-color: rgb(255, 255, 255);"]] is used on synthetic data to infer the posterior of the parameters for a single brain region.
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33	33	These can all be found in the drive and accessed through the lab.
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35	35	= Requirements =