Sentence examples for directed information flow from inspiring English sources

There is, however, a fundamental shortcoming to lagged mutual information as a measure of directed information flow: it fails to take into account shared history between processes.

Thus one might consider, say, I(X t  : Yt−1,Yt−2,…) as a candidate measure for directed information flow from the pastb of Y to the present of X.

In his seminal paper (Schreiber2000), Schreiber recognised that this could lead to spurious imputation of directed information flow and introduced a new measure (Kaiser and Schreiber2002; Schreiber2000) which explicitly takes account of a "shared past" between processes.

On this basis, Olfati-Saber et al. [94] presented a theoretical framework for analysis of consensus algorithms for networked multi-agent systems with fixed or dynamic topology and directed information flow.

The distinctive feature of this work is to address attitude coordinated control with model uncertainties, unknown disturbances and time-varying delays in a decentralized framework, with a strongly connected directed information flow.

In this paper we address the problem of coordinating a group of multi-agent under directed information flow along a three-dimensional reference path with spatial but without temporal constraints.

The PDC is one of the most powerful methods to reveal directed information flows between time series.

In particular, we sought to go beyond mere phase-locking changes by identifying the dynamic brain network of directed information-flow in activated cortical object representations.

We must emphasize that the term 'learning' is used in our paper in the sense of the collection and use of information enriching and diversifying game strategy and behavior, and not in the restricted sense of imitation, or directed information-flow from a dominant source (the teacher) pauperizing the diversity of game strategies.

Given that lagged mutual information is likely to be a misleading indicator of time-directed information flow (see Section "Transfer entropy and granger causality"), the study was recently repeated using transfer entropy.

Synchrony and rhythms have been hypothesized to play roles, for instance, in directing information flow [1 3], binding the activity of different neuronal assemblies [4], protecting signals from distractors [5], enhancing input sensitivity [6, 7], and enhancing the downstream effectiveness of neuronal signals [8 10].