Whole-brain simulations are a valuable tool for gaining insight into the multiscale processes that regulate brain activity. Due to the complexity of the brain, it is impractical to include all microscopic details in a simulation. Hence, researchers often simulate the brain as a network of coupled neural masses, each de...
G. Rabuffo, Abhirup Bandyopadhyay, Carmela Calabrese et al.· eLife· 0 citations
It is demonstrated that seizures are structured dynamical trajectories rather than uniform episodes of abnormal activity, suggesting that the internal structure of seizures encodes information about network reorganisation over time, providing a class of biomarkers for tracking disease progression.
Vinicius Lima, A. Ghestem, V. Jirsa et al.· bioRxiv· 0 citations
This work introduces their symmetric counterpart by replacing adaptation with slow self-excitation, motivated by intrinsic calcium-mediated membrane currents, and derives and validate a mean-field neural mass model that remains stable while retaining working-memory functionality.
D. Depannemaecker, Adrien d'Hollande, G. Casagrande et al.· Nature Communications· 0 citations
BRIDGE provides a reproducible foundation for developing biologically informed mean-field models suitable for large-scale and whole-brain simulations, supporting the transition from generic homogeneous population models toward region-specific ones.
Ilaria Carannante, D. Depannemaecker, M. Woodman et al.· bioRxiv· 0 citations
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