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1		-{{{Virtual Brain Models imply latent nonlinear state space models
	1	+Virtual Brain Models imply latent nonlinear state space models
2	2	driven by noise and network input, necessitating advanced probabilistic
3		-machine learning techniques for widely applicable Bayesian estimation.
4		-Here we present Simulation-based Inference on Virtual Brain Models (SBI-VBMs),
5		-and demonstrate that training deep neural networks on both spatio-temporal and
	3	+machine learning techniques for widely applicable Bayesian estimation.
	4	+Here we present Simulation-based Inference on Virtual Brain Models (SBI-VBMs),
	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.
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8		-}}}
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