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 13.1
edited by mhashemi
on 2025/05/09 16:54
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 +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 +
29 +
30 +Github: [[https:~~/~~/github.com/ins-amu/DCM_PPLs>>https://github.com/ins-amu/DCM_PPLs]]
31 +
32 +
33 +Notebooks:
34 +\\[[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]]
35 +\\Tutorial:
36 +
37 +[[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]]
38 +
39 +{{{@article{AutoDCM,
40 + title={Dynamic Causal Modeling in Probabilistic Programming Languages},
41 + author={Baldy, Nina and Woodman, Marmaduke and Jirsa, Viktor and Hashemi, Meysam},
42 + journal={bioRxiv},
43 + pages={2024--11},
44 + year={2024},
45 + publisher={Cold Spring Harbor Laboratory}
46 +}
47 +}}}
48 +
49 +
12 12  )))