Changes for page Dynamic Causal Modeling in Probabilistic Programming Languages
Last modified by mhashemi on 2025/05/09 17:29
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... ... @@ -1,47 +1,35 @@ 1 -(% class="ro w" %)1 +(% class="jumbotron" %) 2 2 ((( 3 -(% class="co l-xs-12 col-sm-8" %)3 +(% class="container" %) 4 4 ((( 5 - 5 += My Collab's Extended Title = 6 + 7 +My collab's subtitle 6 6 ))) 9 +))) 7 7 8 -(% class=" col-xs-12 col-sm-4" %)11 +(% class="row" %) 9 9 ((( 10 - 11 -))) 13 +(% class="col-xs-12 col-sm-8" %) 14 +((( 15 += What can I find here? = 12 12 13 -This tool was developed at INS in Marseille. 14 -Authors: Nina Baldy, Marmaduke Woodman, Viktor Jirsa, Meysam Hashemi 17 +* Notice how the table of contents on the right 18 +* is automatically updated 19 +* to hold this page's headers 15 15 21 += Who has access? = 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): 23 +Describe the audience of this collab. 24 +))) 18 18 19 -Numpyro: [[https:~~/~~/num.pyro.ai/en/stable/>>url:https://num.pyro.ai/en/stable/]] 20 20 21 -Blackjax: [[https:~~/~~/blackjax-devs.github.io/blackjax/>>url:https://blackjax-devs.github.io/blackjax/]] 27 +(% class="col-xs-12 col-sm-4" %) 28 +((( 29 +{{box title="**Contents**"}} 30 +{{toc/}} 31 +{{/box}} 22 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 -Notebooks: 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 -\\Tutorial: 33 - 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 - 36 -{{{@article{AutoDCM, 37 - title={Dynamic Causal Modeling in Probabilistic Programming Languages}, 38 - author={Baldy, Nina and Woodman, Marmaduke and Jirsa, Viktor and Hashemi, Meysam}, 39 - journal={bioRxiv}, 40 - pages={2024--11}, 41 - year={2024}, 42 - publisher={Cold Spring Harbor Laboratory} 43 -} 44 -}}} 45 - 46 46 47 47 ))) 35 +)))