Sentence examples for information processing network from inspiring English sources

Similar Blood Oxygen Level Dependent (BOLD) activity profiles might in principle be caused by node interactivity in a functionally relevant information processing network or alternatively by mere similarity of isolated neural processes in individual nodes [3].

In addition, the nanoscaled structure is also beneficial to incorporating SPSs into a photonic integration chip, which is necessary in the future quantum information processing network.

If on the other hand the anterior temporal lobes are part of a domain-specific social information processing network, then we should expect to find anterior temporal regions that exhibit reliably greater activation for person information as compared with either building or hammer information.

From the analysis of different systems' profiles, four superfamilies were identified with common TSPs: two families of non-biological networks –semantic adjacency words maps and social systems– and two families of biological, information processing networks.

Our results suggest that intragenic methylation might be an additional constituent of the cis-regulatory machinery regulating the components of densely connected metabolic and information processing networks constitutively expressed in most cells.

Visible at a glance, the update of the datasets has shifted their TSPs from one superfamily to another, in a way that suggests that the division of the information processing networks into two groups was an effect of data incompleteness.

The result, after the incorporation of these new feedbacks, suppose that the division between two superfamilies of biological information processing networks according to their TSPs disappears, affecting the biological interpretation about the eventual relationship between time responses and motifs statistics.

This extracellular information-processing network is also highly dynamic.

It has also begun to show us that the human brain probably does not represent some unique pinnacle of complexity but may have more in common than we might have guessed with many other information-processing networks.

Spike-frequency adaptation in neurons is well-studied in part because it is a basic and ubiquitous feature of neural behavior and in part because it contributes to information processing by networks of neurons.

One possible reason for the existence of modular architecture is that it may result in low average path length (which is associated with high efficiency of signal communication) and high clustering (that allows local segregation of information processing) in networks [24].