1887
banner image
No data available.
Please log in to see this content.
You have no subscription access to this content.
No metrics data to plot.
The attempt to load metrics for this article has failed.
The attempt to plot a graph for these metrics has failed.
Adaptive coupling optimized spiking coherence and synchronization in Newman–Watts neuronal networks
Rent:
Rent this article for
USD
10.1063/1.4813224
/content/aip/journal/chaos/23/3/10.1063/1.4813224
http://aip.metastore.ingenta.com/content/aip/journal/chaos/23/3/10.1063/1.4813224
View: Figures

Figures

Image of FIG. 1.
FIG. 1.

Spatiotemporal patterns of spikes for different values of for . As is increased, the temporal coherence and spatial synchronization of spikes increase, and no optimal performance is observed.

Image of FIG. 2.
FIG. 2.

Same as in Fig. 1 except . As is increased, the temporal coherence of spikes increases and reaches the best performance at  = 0.25 and then decreases. Meanwhile, the spatial synchronization of spikes increases as is increased. This indicates the occurrence of optimal spiking coherence and synchronization due to random shortcuts.

Image of FIG. 3.
FIG. 3.

Dependence of on for different values of . For , passes through a peak as is increased, which quantitatively characterizes the phenomenon of optimal temporal coherence of spikes due to random shortcuts.

Image of FIG. 4.
FIG. 4.

Variation of as a function of for different . For each , decreases as is increased. When increases, decreases more rapidly with the increase . This shows that the synchronization of spikes can be enhanced by random shortcuts more rapidly in case of larger adaptive coupling increment speed.

Image of FIG. 5.
FIG. 5.

Spatiotemporal patterns of spikes for different values of at  = 0.4. As is increased, the temporal coherence of spikes becomes the best at and, meanwhile, the synchronization of spikes increases. This represents the occurrence of optimal temporal coherence and synchronization of spikes due to adaptive coupling strength.

Image of FIG. 6.
FIG. 6.

in dependence on for  = 0.3–0.6. passes through a maximum as is increased, and the peak somewhat moves to a smaller when is increased. This shows that adaptive coupling strength can optimize the temporal coherence of spikes, and when random shortcuts increase, the coupling strength for optimal temporal coherence becomes smaller.

Image of FIG. 7.
FIG. 7.

Variation of as a function of for different . decreases as is increased, and when increases, decreases more rapidly with the increase of . This shows that adaptive coupling strength can enhance the synchronization of spikes more rapidly in the case of larger number of random shortcuts.

Image of FIG. 8.
FIG. 8.

Dependence of or on for Barabási–Albert scale-free networks. As is increased, first increases rapidly and then stays on a high value or decreases very slowly. This shows there is very weak or nearly no optimal spiking coherence taking place on the scale-free networks.

Loading

Article metrics loading...

/content/aip/journal/chaos/23/3/10.1063/1.4813224
2013-07-09
2014-04-21
Loading

Full text loading...

This is a required field
Please enter a valid email address
752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: Adaptive coupling optimized spiking coherence and synchronization in Newman–Watts neuronal networks
http://aip.metastore.ingenta.com/content/aip/journal/chaos/23/3/10.1063/1.4813224
10.1063/1.4813224
SEARCH_EXPAND_ITEM