Figure S5. Modularity increased with hub connectivity suppressed. The ratio between intramodular synchrony and whole brain synchrony is shown for normal, hub connectivity suppressed, and random edge suppressed states. During the critical regime, the random edge suppressed state was observed to be almost identical to the normal state. In contrast, the hub connectivity suppressed state shows a significantly increased intramodular synchrony relative to whole brain synchrony, reflecting stronger modularity in the hub connectivity suppressed state
The hypothesis, that cortical dynamics operates near criticality also suggests, that it exhibits uni...
The spontaneous emergence of coherent behavior through synchronization plays a key role in neural fu...
Summary: Control over behavior is enabled by the brain’s control networks, which interact with lower...
Figure S4. Hub versus random connectivity suppression. When edges were removed from the adjacency ma...
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 S3. Influences on oscillation frequencies of the modules and hub nodes. For each of the 11 mo...
Background: The topological structure of the wiring of the mammalian brain cortex plays an important...
Kuramoto model simulation of neural hubs and dynamic synchrony in the human cerebral connectome Rube...
Figure S8. Global synchrony progression in the macaque. The order parameters r and r link for the ma...
Figure S1. Functional modules derived from resting-state fMRI data. This figure from Van den Heuvel ...
AbstractAt the macroscopic scale, the human brain can be described as a complex network of white mat...
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...
Neurons in the brain are known to operate under a careful balance of excitation and inhibi-tion, whi...
The hypothesis, that cortical dynamics operates near criticality also suggests, that it exhibits uni...
The spontaneous emergence of coherent behavior through synchronization plays a key role in neural fu...
Summary: Control over behavior is enabled by the brain’s control networks, which interact with lower...
Figure S4. Hub versus random connectivity suppression. When edges were removed from the adjacency ma...
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 S3. Influences on oscillation frequencies of the modules and hub nodes. For each of the 11 mo...
Background: The topological structure of the wiring of the mammalian brain cortex plays an important...
Kuramoto model simulation of neural hubs and dynamic synchrony in the human cerebral connectome Rube...
Figure S8. Global synchrony progression in the macaque. The order parameters r and r link for the ma...
Figure S1. Functional modules derived from resting-state fMRI data. This figure from Van den Heuvel ...
AbstractAt the macroscopic scale, the human brain can be described as a complex network of white mat...
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...
Neurons in the brain are known to operate under a careful balance of excitation and inhibi-tion, whi...
The hypothesis, that cortical dynamics operates near criticality also suggests, that it exhibits uni...
The spontaneous emergence of coherent behavior through synchronization plays a key role in neural fu...
Summary: Control over behavior is enabled by the brain’s control networks, which interact with lower...