[HTML][HTML] Macroscopic resting-state brain dynamics are best described by linear models
It is typically assumed that large networks of neurons exhibit a large repertoire of nonlinear
behaviours. Here we challenge this assumption by leveraging mathematical models derived …
behaviours. Here we challenge this assumption by leveraging mathematical models derived …
Macroscopic resting-state brain dynamics are best described by linear models
E Nozari, MA Bertolero, J Stiso… - Nature biomedical …, 2024 - pubmed.ncbi.nlm.nih.gov
It is typically assumed that large networks of neurons exhibit a large repertoire of nonlinear
behaviours. Here we challenge this assumption by leveraging mathematical models derived …
behaviours. Here we challenge this assumption by leveraging mathematical models derived …
Macroscopic resting-state brain dynamics are best described by linear models.
E Nozari, MA Bertolero, J Stiso, L Caciagli… - Nature Biomedical …, 2023 - europepmc.org
It is typically assumed that large networks of neurons exhibit a large repertoire of nonlinear
behaviours. Here we challenge this assumption by leveraging mathematical models derived …
behaviours. Here we challenge this assumption by leveraging mathematical models derived …
Macroscopic resting-state brain dynamics are best described by linear models
E Nozari, MA Bertolero, J Stiso, L Caciagli… - Nature Biomedical …, 2023 - par.nsf.gov
It is typically assumed that large networks of neurons exhibit a large repertoire of nonlinear
behaviours. Here we challenge this assumption by leveraging mathematical models derived …
behaviours. Here we challenge this assumption by leveraging mathematical models derived …