Information decomposition and the informational architecture of the brain
To explain how the brain orchestrates information-processing for cognition, we must
understand information itself. Importantly, information is not a monolithic entity. Information …
understand information itself. Importantly, information is not a monolithic entity. Information …
Measuring multivariate redundant information with pointwise common change in surprisal
RAA Ince - Entropy, 2017 - mdpi.com
The problem of how to properly quantify redundant information is an open question that has
been the subject of much recent research. Redundant information refers to information about …
been the subject of much recent research. Redundant information refers to information about …
Pointwise partial information decompositionusing the specificity and ambiguity lattices
What are the distinct ways in which a set of predictor variables can provide information about
a target variable? When does a variable provide unique information, when do variables …
a target variable? When does a variable provide unique information, when do variables …
Synergistic information supports modality integration and flexible learning in neural networks solving multiple tasks
Striking progress has been made in understanding cognition by analyzing how the brain is
engaged in different modes of information processing. For instance, so-called synergistic …
engaged in different modes of information processing. For instance, so-called synergistic …
A novel approach to the partial information decomposition
A Kolchinsky - Entropy, 2022 - mdpi.com
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 …
decompose the information that a set of source random variables provide about a target …
An information-theoretic quantification of the content of communication between brain regions
Quantifying the amount, content and direction of communication between brain regions is
key to understanding brain function. Traditional methods to analyze brain activity based on …
key to understanding brain function. Traditional methods to analyze brain activity based on …
A hybrid machine learning framework to predict mortality in paralytic ileus patients using electronic health records (EHRs)
FS Ahmad, L Ali, HA Khattak, T Hameed… - Journal of Ambient …, 2021 - Springer
Paralytic ileus (PI) is the pseudo-obstruction of the intestine secondary to intestinal muscle
paralysis. Causes of PI include electrolyte imbalances, gastroenteritis (inflammation or …
paralysis. Causes of PI include electrolyte imbalances, gastroenteritis (inflammation or …
Unique information via dependency constraints
RG James, J Emenheiser… - Journal of Physics A …, 2018 - iopscience.iop.org
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 …
information shared between a set of sources and a target into redundant, synergistic, and …
[HTML][HTML] Unique Information Through the Lens of Channel Ordering: An Introduction and Review
PK Banerjee - Entropy, 2025 - mdpi.com
The problem of constructing information measures with a well-defined interpretation is of
fundamental significance in information theory. A good definition of an information measure …
fundamental significance in information theory. A good definition of an information measure …
The Partial Entropy Decomposition: Decomposing multivariate entropy and mutual information via pointwise common surprisal
RAA Ince - arxiv preprint arxiv:1702.01591, 2017 - arxiv.org
Obtaining meaningful quantitative descriptions of the statistical dependence within
multivariate systems is a difficult open problem. Recently, the Partial Information …
multivariate systems is a difficult open problem. Recently, the Partial Information …