  How human brain function emerges from structure has intrigued researchers for
decades and numerous models have been put forward, yet none of them yields a
close structure-function relation. Here we present a resonance model based on
neuronal spike timing dependent plasticity (STDP) principle to describe the
spontaneous cortical activity by incorporating the dynamic interactions between
neuronal populations into a wave equation, which is able to accurately predict
the resting brain functional connectivity (FC), including the resting-state
networks. Besides, the proposed model provides strong theoretical and
experimental evidences that the spontaneous dynamic coupling between brain
regions fluctuates with a low frequency. Crucially, it is able to account for
how the negative functional correlations emerge during resonance. We test the
model with a large cohort of subjects (1038) from the Human Connectome Project
(HCP) S1200 release in both time and frequency domain, which exhibits superior
performance to existing eigen-decomposition models.
