Wiki source code of Dynamic Causal Modeling in Probabilistic Programming Languages
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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): | ||
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15 | Numpyro: [[https:~~/~~/num.pyro.ai/en/stable/>>url:https://num.pyro.ai/en/stable/]] | ||
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17 | Blackjax: [[https:~~/~~/blackjax-devs.github.io/blackjax/>>url:https://blackjax-devs.github.io/blackjax/]] | ||
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19 | PyMC: [[https:~~/~~/www.pymc.io/welcome.html>>url:https://www.pymc.io/welcome.html]] | ||
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21 | Stan: [[https:~~/~~/mc-stan.org/>>url:https://mc-stan.org/]] | ||
22 | \\\\\\Notebooks: | ||
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 | \\ | ||
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26 | {{{@article{Baldy2024AutoDCM, | ||
27 | title={Dynamic Causal Modeling in Probabilistic Programming Languages}, | ||
28 | author={Baldy, Nina and Woodman, Marmaduke and Jirsa, Viktor and Hashemi, Meysam}, | ||
29 | journal={bioRxiv}, | ||
30 | pages={2024--11}, | ||
31 | year={2024}, | ||
32 | publisher={Cold Spring Harbor Laboratory} | ||
33 | } | ||
34 | }}} | ||
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