Last modified by mhashemi on 2025/05/09 17:29
From version 11.1
edited by mhashemi
on 2024/12/03 16:24
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To version 13.2
edited by mhashemi
on 2025/05/09 17:20
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10 10  
11 11  )))
12 12  
13 -This tool was developed at INS in Marseille.
13 +This tool called DCM_PPLs, was developed at INS in Marseille.
14 +
15 +
14 14  Authors: Nina Baldy, Marmaduke Woodman, Viktor Jirsa, Meysam Hashemi
15 15  
16 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):
19 +The aim was to provide inference services for Dynamical Causal Modeling of Event-Related Potentials (ERPs) measured with EEG/MEG, using SATO Probabilistic Programming Languages (PPLs):
18 18  
19 19  Numpyro: [[https:~~/~~/num.pyro.ai/en/stable/>>url:https://num.pyro.ai/en/stable/]]
20 20  
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27 27  We have provided a taxonomy for model comparison tailored to algorithms: (1) adaptive Hamiltonian Monte Carlo, (2) automatic Laplace and (3) family of variational inference. We have provided solutions to address the deference by: 1) optimizing the hyperparameters, (2) leveraging initialization with prior information, (3) weighted stacking based on predictive accuracy.
28 28  
29 29  
32 +Github: [[https:~~/~~/github.com/ins-amu/DCM_PPLs>>https://github.com/ins-amu/DCM_PPLs]]
33 +
34 +
30 30  Notebooks:
31 31  \\[[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]]
32 32  \\Tutorial:
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33 33  
34 34  [[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]]
35 35  
36 -{{{@article{Baldy2024AutoDCM,
41 +
42 +{{{@article{AutoDCM,
37 37   title={Dynamic Causal Modeling in Probabilistic Programming Languages},
38 38   author={Baldy, Nina and Woodman, Marmaduke and Jirsa, Viktor and Hashemi, Meysam},
39 39   journal={bioRxiv},