To fully characterize the information that two source variables carry about a third target
variable, one must decompose the total information into redundant, unique, and synergistic …

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 …

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

A recent measure of 'integrated information', ΦDM, quantifies the extent to which a system
generates more information than the sum of its parts as it transitions between states …

Recently, a series of papers addressed the problem of decomposing the information of two
random variables into shared information, unique information and synergistic information …

Partial information decomposition of the multivariate mutual information describes the
distinct ways in which a set of source variables contains information about a target variable …

Studies of how information is processed in natural systems, in particular in nervous systems,
are rapidly gaining attention. Less known however is that the local dynamics of such …

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

An outstanding problem in neuroscience is to understand how information is integrated
across the many modules of the brain. While classic information-theoretic measures have …

We define a measure of redundant information based on projections in the space of
probability distributions. Redundant information between random variables is information …