Last modified by mhashemi on 2024/12/03 18:26

From version 3.1
edited by mhashemi
on 2024/11/27 17:58
Change comment: There is no comment for this version
To version 17.1
edited by mhashemi
on 2024/12/03 18:26
Change comment: There is no comment for this version

Summary

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5 -= My Collab's Extended Title =
1 +This tool was developed at INS in Marseille.
2 +Authors: M Hashemi, A Ziaeemehr, MM Woodman, J Fousek, S Petkoski, VK Jirsa
6 6  
7 -My collab's subtitle
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4 +Virtual Brain Models imply latent nonlinear state space models
5 +driven by noise and network input, necessitating advanced probabilistic
6 +machine learning techniques for widely applicable Bayesian estimation.
7 +Here we present Simulation-based Inference on Virtual Brain Models (SBI-VBMs),
8 +and demonstrate that training deep neural networks on both spatio-temporal and
9 +functional features allows for accurate estimation of generative parameters in brain disorders.
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15 -= What can I find here? =
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17 -* Notice how the table of contents on the right
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12 +Code: [[https:~~/~~/wiki.ebrains.eu/bin/view/Collabs/ebrains-task-3-3/Drive#notebooks/SBI-VBM>>https://wiki.ebrains.eu/bin/view/Collabs/ebrains-task-3-3/Drive#notebooks/SBI-VBM]]
20 20  
21 -= Who has access? =
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15 +Ref: [[https:~~/~~/iopscience.iop.org/article/10.1088/2632-2153/ad6230>>https://iopscience.iop.org/article/10.1088/2632-2153/ad6230]]
22 22  
23 -Describe the audience of this collab.
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29 -{{box title="**Contents**"}}
30 -{{toc/}}
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17 +{{{
18 +@article{SBI-VBM,
19 + title={Simulation-based inference on virtual brain models of disorders},
20 + author={Hashemi, Meysam and Ziaeemehr, Abolfazl and Woodman, Marmaduke M and Fousek, Jan and Petkoski, Spase and Jirsa, Viktor K},
21 + journal={Machine Learning: Science and Technology},
22 + volume={5},
23 + number={3},
24 + pages={035019},
25 + year={2024},
26 + publisher={IOP Publishing}
27 +}
28 +}}}
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