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Is the brain macroscopically linear? A system identification of resting state dynamics
[article]
2021
arXiv
pre-print
A central challenge in the computational modeling of neural dynamics is the trade-off between accuracy and simplicity. At the level of individual neurons, nonlinear dynamics are both experimentally established and essential for neuronal functioning. An implicit assumption has thus formed that an accurate computational model of whole-brain dynamics must also be highly nonlinear, whereas linear models may provide a first-order approximation. Here, we provide a rigorous and data-driven
arXiv:2012.12351v2
fatcat:mk5lynyluzaq5izgayaschxmzy