Last modified by mhashemi on 2025/05/09 17:29
From version 8.1
edited by mhashemi
on 2024/11/27 17:43
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To version 14.2
edited by mhashemi
on 2025/05/09 17:20
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9 9  (((
10 10  
11 11  )))
12 +
13 +This open-source tool, called DCM_PPLs, was developed at INS in Marseille.
14 +
15 +
16 +Authors: Nina Baldy, Marmaduke Woodman, Viktor Jirsa, Meysam Hashemi
17 +
18 +
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):
20 +
21 +Numpyro: [[https:~~/~~/num.pyro.ai/en/stable/>>url:https://num.pyro.ai/en/stable/]]
22 +
23 +Blackjax: [[https:~~/~~/blackjax-devs.github.io/blackjax/>>url:https://blackjax-devs.github.io/blackjax/]]
24 +
25 +PyMC: [[https:~~/~~/www.pymc.io/welcome.html>>url:https://www.pymc.io/welcome.html]]
26 +
27 +Stan: [[https:~~/~~/mc-stan.org/>>url:https://mc-stan.org/]]
28 +
29 +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.
30 +
31 +
32 +Github: [[https:~~/~~/github.com/ins-amu/DCM_PPLs>>https://github.com/ins-amu/DCM_PPLs]]
33 +
34 +
35 +Notebooks:
36 +\\[[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]]
37 +\\Tutorial:
38 +
39 +[[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]]
40 +
41 +
42 +{{{@article{AutoDCM,
43 + title={Dynamic Causal Modeling in Probabilistic Programming Languages},
44 + author={Baldy, Nina and Woodman, Marmaduke and Jirsa, Viktor and Hashemi, Meysam},
45 + journal={bioRxiv},
46 + pages={2024--11},
47 + year={2024},
48 + publisher={Cold Spring Harbor Laboratory}
49 +}
50 +}}}
51 +
52 +
12 12  )))