Last modified by mhashemi on 2024/12/03 18:27
From version 9.1
edited by mhashemi
on 2024/11/27 17:47
Change comment: There is no comment for this version
To version 10.1
edited by mhashemi
on 2024/12/03 16:21
Change comment: There is no comment for this version

Summary

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10 10  
11 11  )))
12 12  
13 +This tool was developed at INS in Marseille.
14 +Authors: Nina Baldy, Marmaduke Woodman, Viktor Jirsa, Meysam Hashemi
15 +
16 +
13 13  The aim is to provide inference services for Dynamical Causal Modeling of Event-Related Potentials (ERPs) measured with EEG/MEG, using SATO Probabilistic Programming Languages (PPLs):
14 14  
15 15  Numpyro: [[https:~~/~~/num.pyro.ai/en/stable/>>url:https://num.pyro.ai/en/stable/]]
... ... @@ -19,10 +19,14 @@
19 19  PyMC: [[https:~~/~~/www.pymc.io/welcome.html>>url:https://www.pymc.io/welcome.html]]
20 20  
21 21  Stan: [[https:~~/~~/mc-stan.org/>>url:https://mc-stan.org/]]
22 -\\\\\\Notebooks:
26 +
27 +
28 +Notebooks:
23 23  \\[[https:~~/~~/wiki.ebrains.eu/bin/view/Collabs/ebrains-task-3-3/Drive#notebooks/DCM_ERP_NumPyro>>https://wiki.ebrains.eu/bin/view/Collabs/ebrains-task-3-3/Drive#notebooks/DCM_ERP_NumPyro]]
24 -\\
30 +\\Tutorial:
25 25  
32 +[[https:~~/~~/wiki.ebrains.eu/bin/view/Collabs/ebrains-task-3-3/Drive#notebooks/EITN_tutorial>>https://wiki.ebrains.eu/bin/view/Collabs/ebrains-task-3-3/Drive#notebooks/EITN_tutorial]]
33 +
26 26  {{{@article{Baldy2024AutoDCM,
27 27   title={Dynamic Causal Modeling in Probabilistic Programming Languages},
28 28   author={Baldy, Nina and Woodman, Marmaduke and Jirsa, Viktor and Hashemi, Meysam},