Last modified by mhashemi on 2022/06/21 12:37

From version 26.1
edited by mhashemi
on 2022/06/21 12:37
Change comment: There is no comment for this version
To version 24.1
edited by mhashemi
on 2022/05/23 22:36
Change comment: Update collab owner property to mhashemi

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1 1  = Bayesian Virtual Epileptic Patient (BVEP) =
2 2  
3 3  
4 -Bayesian Virtual Epileptic Patient (BVEP): a probabilistic framework designed to infer the spatial map of epileptogenicity in a personalized large-scale brain model of epilepsy spread by PPLs using No-U-Turn Sampler (NUTS) and Automatic Differentiation Variational Inference (ADVI), and also now using the state-of-the-art deep learning algorithms for conditional density estimation in simulation-based-inference (SBI) framework.
4 +Bayesian Virtual Epileptic Patient (BVEP): a probabilistic framework designed to infer the spatial map of epileptogenicity in a personalized large-scale brain model of epilepsy spread by PPLs using No-U-Turn Sam- pler (NUTS) and Automatic Differentiation Variational Inference (ADVI).
5 5  
6 6  
7 7  Installation:
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19 19  [[https:~~/~~/docs.pymc.io/>>url:https://docs.pymc.io/]]
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21 21  
22 -For inference using SBI:
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24 -[[https:~~/~~/www.mackelab.org/sbi/>>https://www.mackelab.org/sbi/]]
25 -
26 -
27 27  Notebooks:
28 28  
29 29  Bayesian inference of 2D Epileptor model:
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36 36  [[https:~~/~~/lab.ebrains.eu/user/user-redirectm/lab/tree/drive/Shared%20with%20all/Bayesian%20Virtual%20Epileptic%20Patient/EpileptorInferHyposPrior.ipynb>>url:https://lab.ebrains.eu/user/user-redirectm/lab/tree/drive/Shared with all/Bayesian Virtual Epileptic Patient/EpileptorInferHyposPrior.ipynb]]
37 37  
38 38  
39 -Bayesian inference of whole-brain network model in PPLs:
35 +Bayesian inference of VEP whole-brain network model:
40 40  
41 -[[https:~~/~~/lab.ch.ebrains.eu/hub/user-redirect/lab/tree/shared/Bayesian%20Virtual%20Epileptic%20Patient/BVEP_noncen_stan_patient1.ipynb>>https://lab.ch.ebrains.eu/hub/user-redirect/lab/tree/shared/Bayesian%20Virtual%20Epileptic%20Patient/BVEP_noncen_stan_patient1.ipynb]]
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44 -[[https:~~/~~/lab.ch.ebrains.eu/hub/user-redirect/lab/tree/shared/Bayesian%20Virtual%20Epileptic%20Patient/BVEP_noncen_pymc3_patient1.ipynb>>https://lab.ch.ebrains.eu/hub/user-redirect/lab/tree/shared/Bayesian%20Virtual%20Epileptic%20Patient/BVEP_noncen_pymc3_patient1.ipynb]]
45 -
46 -
47 -SBI-VEP:
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49 -
50 -[[https:~~/~~/lab.ch.ebrains.eu/hub/user-redirect/lab/tree/shared/Bayesian%20Virtual%20Epileptic%20Patient/BVEP_sde_sbi_maf_seeg_GrExp_patient1.ipynb>>https://lab.ch.ebrains.eu/hub/user-redirect/lab/tree/shared/Bayesian%20Virtual%20Epileptic%20Patient/BVEP_sde_sbi_maf_seeg_GrExp_patient1.ipynb]]
37 +[[https:~~/~~/lab.ebrains.eu/user/user-redirect/lab/tree/drive/Shared%20with%20all/Bayesian%20Virtual%20Epileptic%20Patient/FittingEpileptor2D.ipynb>>url:https://lab.ebrains.eu/user/user-redirect/lab/tree/drive/Shared with all/Bayesian Virtual Epileptic Patient/FittingEpileptor2D.ipynb]]