Changes for page TVB EBRAINS hands-on

Last modified by petkoski on 2026/10/06 20:56

From version 24.1
edited by petkoski
on 2026/10/06 20:55
Change comment: There is no comment for this version
To version 25.1
edited by petkoski
on 2026/10/06 20:56
Change comment: There is no comment for this version

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30 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.
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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 for a **single brain region**.
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.
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36 36  These can all be found in the drive and accessed through the lab.