Last modified by mhashemi on 2024/12/03 18:26
From version 9.1
edited by mhashemi
on 2024/11/27 18:06
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To version 12.1
edited by mhashemi
on 2024/11/27 18:06
Change comment: There is no comment for this version

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1 1  {{{Virtual Brain Models imply latent nonlinear state space models
2 2  driven by noise and network input, necessitating advanced probabilistic
3 -machinelearning techniques for widely applicable Bayesian estimation.
3 +machine learning techniques for widely applicable Bayesian estimation.
4 4  Here we present Simulation-based Inference on Virtual Brain Models (SBI-VBMs),
5 5  and demonstrate that training deep neural networks on both spatio-temporal and
6 6  functional features allows for accurate estimation of generative parameters in brain disorders.