Last modified by mhashemi on 2022/06/21 12:37
From version 9.2
edited by mhashemi
on 2020/06/12 19:00
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To version 9.1
edited by mhashemi
on 2020/06/12 18:58
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1 1  = Bayesian Virtual Epileptic Patient (BVEP) =
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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) to invert a individualized whole-brain model of epilepsy spread by PPLs using No-U-Turn Sam- pler (NUTS) and Automatic Differentiation Variational Inference (ADVI).
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7 7  Installation:
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9 9  For simulation using TVB:
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19 19  [[https:~~/~~/docs.pymc.io/>>url:https://docs.pymc.io/]]
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23 23  Notebooks:
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25 25  Bayesian inference of Epiletor model: