Warning:  Due to planned infrastructure maintenance, the EBRAINS Wiki and EBRAINS Support system will be unavailable for up to three days starting Monday, 14 July. During this period, both services will be inaccessible, and any emails sent to the support address will not be received.

Attention: We are currently experiencing some issues with the EBRAINS Drive. Please bear with us as we fix this issue. We apologise for any inconvenience caused.


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

From version 7.1
edited by mhashemi
on 2020/06/12 18:52
Change comment: There is no comment for this version
To version 10.1
edited by mhashemi
on 2020/06/12 19:00
Change comment: There is no comment for this version

Summary

Details

Page properties
Content
... ... @@ -1,35 +1,35 @@
1 -(% class="jumbotron" %)
2 -(((
3 -(% class="container" %)
4 -(((
5 -= {{jupyterlink}}https://lab.ebrains.eu/user/mhashemi/lab/tree/drive/Shared%20with%20groups/Bayesian%20Virtual%20Epileptic%20Patient/BVEP_noncen_pymc3_patient1.ipynb{{/jupyterlink}}My Collab's Extended Title =
1 += Bayesian Virtual Epileptic Patient (BVEP) =
6 6  
7 -My collab's subtitle
8 -)))
9 -)))
10 10  
11 -(% class="row" %)
12 -(((
13 -(% class="col-xs-12 col-sm-8" %)
14 -(((
15 -= What can I find here? =
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).
16 16  
17 -* Notice how the table of contents on the right
18 -* is automatically updated
19 -* to hold this page's headers
20 20  
21 -= Who has access? =
7 +Installation:
22 22  
23 -Describe the audience of this collab.
24 -)))
9 +For simulation using TVB:
25 25  
11 +[[https:~~/~~/www.thevirtualbrain.org/tvb/zwei>>url:https://www.thevirtualbrain.org/tvb/zwei]]
26 26  
27 -(% class="col-xs-12 col-sm-4" %)
28 -(((
29 -{{box title="**Contents**"}}
30 -{{toc/}}
31 -{{/box}}
13 +For inference using Stan:
32 32  
33 -
34 -)))
35 -)))
15 +[[https:~~/~~/mc-stan.org/>>url:https://mc-stan.org/]]
16 +
17 +For inference using PyMC3:
18 +
19 +[[https:~~/~~/docs.pymc.io/>>url:https://docs.pymc.io/]]
20 +
21 +
22 +
23 +Notebooks:
24 +
25 +Bayesian inference of Epiletor model:
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]]
28 +
29 +Cross-validation and hypothesis inference :
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]]
32 +
33 +Bayesian inference of VEP brain model:
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]]