Last modified by mhashemi on 2022/06/21 12:37
From version 10.1
edited by mhashemi
on 2020/06/12 19:00
Change comment: There is no comment for this version
To version 26.1
edited by mhashemi
on 2022/06/21 12:37
Change comment: There is no comment for this version

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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 Sam- pler (NUTS) and Automatic Differentiation Variational Inference (ADVI).
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.
5 5  
6 6  
7 7  Installation:
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19 19  [[https:~~/~~/docs.pymc.io/>>url:https://docs.pymc.io/]]
20 20  
21 21  
22 +For inference using SBI:
22 22  
24 +[[https:~~/~~/www.mackelab.org/sbi/>>https://www.mackelab.org/sbi/]]
25 +
26 +
23 23  Notebooks:
24 24  
25 -Bayesian inference of Epiletor model:
29 +Bayesian inference of 2D Epileptor model:
26 26  
27 -[[https:~~/~~/lab.ebrains.eu/user/mhashemi/lab/tree/drive/Shared%20with%20groups/Bayesian%20Virtual%20Epileptic%20Patient/FittingEpileptor2D.ipynb>>https://lab.ebrains.eu/user/mhashemi/lab/tree/drive/Shared%20with%20groups/Bayesian%20Virtual%20Epileptic%20Patient/FittingEpileptor2D.ipynb]]
31 +[[https:~~/~~/lab.ebrains.eu/user/user-redirect/lab/tree/drive/Shared%20with%20all/Bayesian%20Virtual%20Epileptic%20Patient/BVEP_noncen_pymc3_patient1.ipynb>>url:https://lab.ebrains.eu/user/user-redirect/lab/tree/drive/Shared with all/Bayesian Virtual Epileptic Patient/BVEP_noncen_pymc3_patient1.ipynb]]
28 28  
29 -Cross-validation and hypothesis inference :
30 30  
31 -[[https:~~/~~/lab.ebrains.eu/user/mhashemi/lab/tree/drive/Shared%20with%20groups/Bayesian%20Virtual%20Epileptic%20Patient/EpileptorInferHyposPrior.ipynb>>https://lab.ebrains.eu/user/mhashemi/lab/tree/drive/Shared%20with%20groups/Bayesian%20Virtual%20Epileptic%20Patient/EpileptorInferHyposPrior.ipynb]]
34 +Cross-validation and hypothesis inference in 2D Epileptor model:
32 32  
33 -Bayesian inference of VEP brain model:
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]]
34 34  
35 -[[https:~~/~~/lab.ebrains.eu/user/mhashemi/lab/tree/drive/Shared%20with%20groups/Bayesian%20Virtual%20Epileptic%20Patient/BVEP_noncen_pymc3_patient1.ipynb>>https://lab.ebrains.eu/user/mhashemi/lab/tree/drive/Shared%20with%20groups/Bayesian%20Virtual%20Epileptic%20Patient/BVEP_noncen_pymc3_patient1.ipynb]]
38 +
39 +Bayesian inference of whole-brain network model in PPLs:
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]]
42 +
43 +
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:
48 +
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]]
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