Spatiotemporal patterns of spikes for different values of p for . As p is increased, the temporal coherence and spatial synchronization of spikes increase, and no optimal performance is observed.
Same as in Fig. 1 except . As p is increased, the temporal coherence of spikes increases and reaches the best performance at p = 0.25 and then decreases. Meanwhile, the spatial synchronization of spikes increases as p is increased. This indicates the occurrence of optimal spiking coherence and synchronization due to random shortcuts.
Dependence of on p for different values of . For , passes through a peak as p is increased, which quantitatively characterizes the phenomenon of optimal temporal coherence of spikes due to random shortcuts.
Variation of as a function of p for different . For each , decreases as p is increased. When increases, decreases more rapidly with the increase p. This shows that the synchronization of spikes can be enhanced by random shortcuts more rapidly in case of larger adaptive coupling increment speed.
Spatiotemporal patterns of spikes for different values of at p = 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.
in dependence on for p = 0.3–0.6. passes through a maximum as is increased, and the peak somewhat moves to a smaller when p 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.
Variation of as a function of for different p. decreases as is increased, and when p 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.
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.
Article metrics loading...
Full text loading...