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

The varied cognitive abilities and rich adaptive behaviors enabled by the animal nervous
system are often described in terms of information processing. This framing raises the issue …

The formulation of the Partial Information Decomposition (PID) framework by Williams and
Beer in 2010 attracted a significant amount of attention to the problem of defining redundant …

One of the essential functions of biological neural networks is the processing of information.
This includes everything from processing sensory information to perceive the environment …

We consider the “partial information decomposition”(PID) problem, which aims to
decompose the information that a set of source random variables provide about a target …

Exploiting the theory of state space models, we derive the exact expressions of the
information transfer, as well as redundant and synergistic transfer, for coupled Gaussian …

Multivariate information decompositions hold promise to yield insight into complex systems,
and stand out for their ability to identify synergistic phenomena. However, the adoption of …

Development of composite indicators for integrated health in populations typically relies on a
priori assumptions rather than model-free, data-driven evidence. Traditional variable …

The theory of intersectionality proposes that an individual's experience of society has
aspects that are irreducible to the sum of one's various identities considered individually, but …

The purpose of this paper is to systematize and justify the factors for the effective
implementation of digitalization to ensure the innovative development of agriculture in …