Last modified by mhashemi on 2025/05/09 17:29
From version 10.1
edited by mhashemi
on 2024/12/03 16:21
Change comment: There is no comment for this version
To version 8.1
edited by mhashemi
on 2024/11/27 17:43
Change comment: There is no comment for this version

Summary

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9 9  (((
10 10  
11 11  )))
12 -
13 -This tool was developed at INS in Marseille.
14 -Authors: Nina Baldy, Marmaduke Woodman, Viktor Jirsa, Meysam Hashemi
15 -
16 -
17 -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):
18 -
19 -Numpyro: [[https:~~/~~/num.pyro.ai/en/stable/>>url:https://num.pyro.ai/en/stable/]]
20 -
21 -Blackjax: [[https:~~/~~/blackjax-devs.github.io/blackjax/>>url:https://blackjax-devs.github.io/blackjax/]]
22 -
23 -PyMC: [[https:~~/~~/www.pymc.io/welcome.html>>url:https://www.pymc.io/welcome.html]]
24 -
25 -Stan: [[https:~~/~~/mc-stan.org/>>url:https://mc-stan.org/]]
26 -
27 -
28 -Notebooks:
29 -\\[[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]]
30 -\\Tutorial:
31 -
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 -
34 -{{{@article{Baldy2024AutoDCM,
35 - title={Dynamic Causal Modeling in Probabilistic Programming Languages},
36 - author={Baldy, Nina and Woodman, Marmaduke and Jirsa, Viktor and Hashemi, Meysam},
37 - journal={bioRxiv},
38 - pages={2024--11},
39 - year={2024},
40 - publisher={Cold Spring Harbor Laboratory}
41 -}
42 -}}}
43 -
44 -
45 45  )))