Sentence examples for model the connectivity from inspiring English sources
We constructed small-‐world networks to model the connectivity of neurons, and the structural heterogeneity we considered was "degree," the number of other neurons in the network a neuron was connected to.
To develop the statistical model, the connectivity indices of polymer and solvent were used as the independent variables of the model.
We use a new method of analysis that combines ideas from the greedy algorithm for set cover with a matroid-style exchange argument to model the connectivity constraint.
Different types of methods model the connectivity embedded in brain networks in different ways.
In particular, we are interested in Geometric unit-disk graphs, under whave the connectivity and the interference constraints are determined beenhe location of vertices.
In the practical model, the connectivity constraints cannot be always guaranteed in the proposed clustering algorithm due to the channel fluctuation.
We then calculated the maximum water storage capacity of individual basins and modeled the connectivity among these basins.
In the area of social networks, our work has focused on understanding and modeling the connectivity of small-world networks, and on the role of social interaction on collaborative sensing and decision-making tasks.
Comparing to the other connectivity evaluation models, the connectivity indices obtained by this method are independent of operational conditions, such as possible shutting-in existing or adding additional injectors or producers, or converting one to the other — and hence are more suitable for decision making.
The parameter α > 0 is the decay rate for the potential, w : B × B → R is a kernel that models the connectivity of neurons at location x to neurons at location y.
Therefore, following on in support of previous models, the "connectivity model of muscle development" is proposed: whereby the closer to the myofibril core (i.e. the filament system) of muscle cells, the greater the gene expression changes during muscle differentiation and the greater the muscle specificity index.
