Sentence examples for threshold networks from inspiring English sources

Rohlf, T. & Bornholdt, S. Criticality in random threshold networks: annealed approximation and beyond.

Kurten, K. E. Correspondence between neural threshold networks and Kauffman boolean cellular automata.

The extensions explicitly incorporate geometric information about a network based on distances and inter/intra hemispherical asymmetries (to supplement ordinary degree-distribution information), and utilize a stochastic choice of network density levels (for fixed threshold networks) to better capture the variance in average connectivity among subjects.

For single hidden layer threshold networks with varying input dimension and n hidden neurons, approximation within a relative error depending on n is NP-hard even if restricted to situations where the number of examples is limited with respect to n.

The simplified networks discussed above were also called threshold networks.

We used AP cluster [13], infoMap from igraph-python (version 0.7.0) [32] and MCL (version 12-068) [33] to find clusters in both integrate and threshold networks.

The proposed circuit can also be applied to the design of arbitrary logic function in a multilevel threshold network.

Here, we focus on three types of models which generate complex networks, i.e. the Erdős Rényi, the Watts Strogatz, and the threshold network models.

In addition, we theoretically discuss the stable and unstable regions in the cases of regular enhanced ring lattices which include regular circles, and networks generated by the threshold network model when the number of vertices is large enough.

However, with a larger sleep threshold, network delay of both models will increase because of the longer waiting time in the queue, as shown in Fig. 3b.

Wu et al. [40] named this as "strong inhibition" model and showed that it produces the same results as threshold network model [39] for fission yeast cell cycle network.