Zobrazeno 1 - 10
of 103
pro vyhledávání: '"James, Ryan G."'
Pairwise interactions between individuals are taken as fundamental drivers of collective behavior responsible for group cohesion and decision-making. While an individual directly influences only a few neighbors, over time indirect influences penetrat
Externí odkaz:
http://arxiv.org/abs/2012.00293
Many natural, engineered, and social systems can be represented using the framework of a layered network, where each layer captures a different type of interaction between the same set of nodes. The study of such multiplex networks is a vibrant area
Externí odkaz:
http://arxiv.org/abs/2005.04487
The partial information decomposition (PID) is a promising framework for decomposing a joint random variable into the amount of influence each source variable Xi has on a target variable Y, relative to the other sources. For two sources, influence br
Externí odkaz:
http://arxiv.org/abs/1811.01745
Recently, the partial information decomposition emerged as a promising framework for identifying the meaningful components of the information contained in a joint distribution. Its adoption and practical application, however, have been stymied by the
Externí odkaz:
http://arxiv.org/abs/1808.08606
Information flow between components of a system takes many forms and is key to understanding the organization and functioning of large-scale, complex systems. We demonstrate three modalities of information flow from time series X to time series Y. In
Externí odkaz:
http://arxiv.org/abs/1808.06723
An example of phase transition in natural complex systems is the qualitative and sudden change in the heart rhythm between sinus rhythm and atrial fibrillation (AF), the most common irregular heart rhythm in humans. While the system behavior is centr
Externí odkaz:
http://arxiv.org/abs/1804.10828
Autor:
Ashikaga, Hiroshi, James, Ryan G.
The mechanism that maintains atrial fibrillation (AF) remains elusive. One approach to understanding and controlling the mechanism ("AF driver") is to quantify inter-scale information flow from macroscopic to microscopic behaviors of the cardiac syst
Externí odkaz:
http://arxiv.org/abs/1711.10126
The partial information decomposition (PID) is perhaps the leading proposal for resolving information shared between a set of sources and a target into redundant, synergistic, and unique constituents. Unfortunately, the PID framework has been hindere
Externí odkaz:
http://arxiv.org/abs/1709.06653
Publikováno v:
Phys. Rev. E 95, 060102 (2017)
One of the most fundamental questions one can ask about a pair of random variables X and Y is the value of their mutual information. Unfortunately, this task is often stymied by the extremely large dimension of the variables. We might hope to replace
Externí odkaz:
http://arxiv.org/abs/1702.01831
Autor:
James, Ryan G., Crutchfield, James P.
Accurately determining dependency structure is critical to discovering a system's causal organization. We recently showed that the transfer entropy fails in a key aspect of this---measuring information flow---due to its conflation of dyadic and polya
Externí odkaz:
http://arxiv.org/abs/1609.01233