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The brain network is the complex network that supports efficient information integration and communication with relatively low wiring costs [5].
We tested the modularized ANN ensemble for different levels of component dilution, by keeping constant the wiring costs.
The strategies for reducing wiring costs are shared across phyla and point to the possibility of generalizable rules that specify the development of efficient nervous systems.
We showed that the ANN ensemble system with N= 104 units is able to approximately triple the maximal capacity of the single ANN, with similar wiring costs.
To illustrate this idea, we design networks that exhibit a predefined pattern dynamics while at the same time minimizing the networks' wiring costs.
Moreover, small-world networks are economical, tending to minimize wiring costs while supporting a high level of dynamical complexity [47].
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They declined to say how much the wiring cost, but added that they still had not decided how much MerchantWired would cost retailers.
They may both have been selected for high efficiency of information transfer, economical wiring cost, rapid adaptivity or evolvability of function and robustness to physical damage.Networks that grow or evolve to satisfy some or all of these conditions tend to end up looking the same.
At a dynamical-efficiency optimal value p∗E, there is a trade-off between the population synchronization and the wiring economy, and hence an optimal fast sparsely-synchronized rhythm is found to occur at a minimal wiring cost in an economic small-world network.
Instead, we can use a "common-wire" model to define the wiring cost for connecting to a specific neuron.
Fig. 6 (inset) shows that wiring cost increases with communication efficiency for the randomized networks, which is qualitatively similar to the relation obtained using the preceding definition for wiring cost.
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