A Porta, L Faes - Proceedings of the IEEE, 2015 - ieeexplore.ieee.org
Since the operative definition given by CWJ Granger of an idea expressed by N. Wiener, the Wiener-Granger causality (WGC) has been one of the most relevant concepts exploited by …
Transfer Entropy Page 1 Chapter 4 Transfer Entropy In this chapter we get to the essential mathematics of the book—a detailed discussion of transfer entropy. To begin with we look at …
Normal brain function requires interactions between spatially separated, and functionally specialized, macroscopic regions, yet the directionality of these interactions in large-scale …
JT Lizier - Frontiers in Robotics and AI, 2014 - frontiersin.org
Complex systems are increasingly being viewed as distributed information processing systems, particularly in the domains of computational neuroscience, bioinformatics, and …
Entropy measures are widely applied to quantify the complexity of dynamical systems in diverse fields. However, the practical application of entropy methods is challenging, due to …
The brain consists of functional units with more-or-less specific information processing capabilities, yet cognitive functions require the co-ordinated activity of these spatially …
Information flow between brain areas is difficult to estimate from EEG measurements due to the presence of noise as well as due to volume conduction. We here test the ability of …
We introduce here phase transfer entropy (Phase TE) as a measure of directed connectivity among neuronal oscillations. Phase TE quantifies the transfer entropy between phase time …
In complex networks such as gene networks, traffic systems or brain circuits it is important to understand how long it takes for the different parts of the network to effectively influence one …