Figure S3. Influences on oscillation frequencies of the modules and hub nodes. For each of the 11 modules (1 plot per module), the influences on its frequencies of the modules and hub nodes (12 lines per plot corresponding to the modules and the hub nodes) are shown. The hub nodes become dominant in the process of global synchronization during the critical regime
The hypothesis, that cortical dynamics operates near criticality also suggests, that it exhibits uni...
AbstractAt the macroscopic scale, the human brain can be described as a complex network of white mat...
We derive a two-layer multiplex Kuramoto model from Wilson-Cowan type physiological equations that d...
Figure S7. Small set of hub nodes perturbed. Perturbation of a smaller set of hub nodes also prevent...
Figure S2. Inter- and intramodular synchrony. Each bar plot corresponds to the inter- and intramodul...
Figure S5. Modularity increased with hub connectivity suppressed. The ratio between intramodular syn...
Figure S4. Hub versus random connectivity suppression. When edges were removed from the adjacency ma...
Background: The topological structure of the wiring of the mammalian brain cortex plays an important...
Figure S8. Global synchrony progression in the macaque. The order parameters r and r link for the ma...
Kuramoto model simulation of neural hubs and dynamic synchrony in the human cerebral connectome Rube...
Figure S1. Functional modules derived from resting-state fMRI data. This figure from Van den Heuvel ...
This dataset contains model-generated group-level connectomes of phase-synchronization 1.) between 7...
This dataset contains model-generated group-level connectomes of phase-synchronization 1.) between 7...
We have extended the study of the Kuramoto model with additive Gaussian noise running on the KKI-18 ...
The problem of emergent synchronization patterns in a complex network of coupled oscillators has cau...
The hypothesis, that cortical dynamics operates near criticality also suggests, that it exhibits uni...
AbstractAt the macroscopic scale, the human brain can be described as a complex network of white mat...
We derive a two-layer multiplex Kuramoto model from Wilson-Cowan type physiological equations that d...
Figure S7. Small set of hub nodes perturbed. Perturbation of a smaller set of hub nodes also prevent...
Figure S2. Inter- and intramodular synchrony. Each bar plot corresponds to the inter- and intramodul...
Figure S5. Modularity increased with hub connectivity suppressed. The ratio between intramodular syn...
Figure S4. Hub versus random connectivity suppression. When edges were removed from the adjacency ma...
Background: The topological structure of the wiring of the mammalian brain cortex plays an important...
Figure S8. Global synchrony progression in the macaque. The order parameters r and r link for the ma...
Kuramoto model simulation of neural hubs and dynamic synchrony in the human cerebral connectome Rube...
Figure S1. Functional modules derived from resting-state fMRI data. This figure from Van den Heuvel ...
This dataset contains model-generated group-level connectomes of phase-synchronization 1.) between 7...
This dataset contains model-generated group-level connectomes of phase-synchronization 1.) between 7...
We have extended the study of the Kuramoto model with additive Gaussian noise running on the KKI-18 ...
The problem of emergent synchronization patterns in a complex network of coupled oscillators has cau...
The hypothesis, that cortical dynamics operates near criticality also suggests, that it exhibits uni...
AbstractAt the macroscopic scale, the human brain can be described as a complex network of white mat...
We derive a two-layer multiplex Kuramoto model from Wilson-Cowan type physiological equations that d...