Changes for page TVB EBRAINS hands-on
Last modified by petkoski on 2026/10/06 20:56
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... ... @@ -27,9 +27,12 @@ 27 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%20hands-on/MPR_rs.ipynb]]. This is a based on a more detailed 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. 28 28 29 29 30 -F inally, thecollab containsonetutorialwherea[[Bayesian approach>>https://lab.jsc.ebrains.eu/hub/user-redirect/lab/tree/shared/TVB%20EBRAINS%20hands-on/DCM_ERPs_MCMC_ebrains.ipynb||style="background-color: rgb(255,255,255);"]]isusedonsyntheticdata toinfertheposteriorof theparametersforasinglebrain region.30 +For more advanced applications, TVB with neuromodulation, through the example of dopaminergic D1 neuromodulation, is available at [[https:~~/~~/search.kg.ebrains.eu/?category=Model&q=preti#49cea23b-97f6-4525-bdb3-aafe70490624>>https://search.kg.ebrains.eu/?category=Model&q=preti#49cea23b-97f6-4525-bdb3-aafe70490624]] and [[https:~~/~~/github.com/giapre/dopamine_model>>https://github.com/giapre/dopamine_model]] . The github contains the model and several usecases based on //jax// implementation that is verified with the standard TVB. 31 31 32 32 33 +The collab also contains one tutorial where a [[Bayesian approach>>https://lab.jsc.ebrains.eu/hub/user-redirect/lab/tree/shared/TVB%20EBRAINS%20hands-on/DCM_ERPs_MCMC_ebrains.ipynb||style="background-color: rgb(255, 255, 255);"]] is used on synthetic data to infer the posterior of the parameters, but only for a single brain region. 34 + 35 + 33 33 These can all be found in the drive and accessed through the lab. 34 34 35 35 = Requirements =