Crossmodal plasticity is a textbook example of the ability of the brain to reorganize based on
use. We review evidence from the auditory system showing that such reorganization has …

The problem of reconstructing nonlinear and complex dynamical systems from measured
data or time series is central to many scientific disciplines including physical, biological …

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 …

Perception, cognition and behavior rely on flexible communication between microcircuits in
distinct cortical regions. The mechanisms underlying rapid information rerouting between …

Complex systems are increasingly being viewed as distributed information processing
systems, particularly in the domains of computational neuroscience, bioinformatics, and …

Understanding how neural systems integrate, encode, and compute information is central to
understanding brain function. Frequently, data from neuroscience experiments are …

Objective: Assessing brain connectivity from electrophysiological signals is of great
relevance in neuroscience, but results are still debated and depend crucially on how …

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 …

A systematic assessment of global neural network connectivity through direct
electrophysiological assays has remained technically infeasible, even in simpler systems …

Abstract Information theory has long been used to quantify interactions between two
variables. With the rise of complex systems research, multivariate information measures …