Article

Simulation-Based Inference for Whole-Brain Network Modeling of Epilepsy using Deep Neural Density Estimators

2022-06-03

Abstract excerpt

Whole-brain network modeling of epilepsy is a data-driven approach that combines personalized anatomical information with dynamical models of abnormal brain activity to generate spatio-temporal seizure patterns as observed in brain imaging signals. Such a parametric simulator is equipped with a stochastic generative process, which itself provides the basis for inference and prediction of the local and global brain...

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Literature Corpus work: 248a8cf8-d56b-57e8-b3a1-5f68b96758bd
DOI: 10.1101/2022.06.02.22275860

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