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[HTML][HTML] Revealing the dynamics of neural information processing with multivariate information decomposition
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 …
system are often described in terms of information processing. This framing raises the issue …
Measuring integrated information: Comparison of candidate measures in theory and simulation
Integrated Information Theory (IIT) is a prominent theory of consciousness that has at its
centre measures that quantify the extent to which a system generates more information than …
centre measures that quantify the extent to which a system generates more information than …
[HTML][HTML] Untangling synergistic effects of intersecting social identities with partial information decomposition
TF Varley, P Kaminski - Entropy, 2022 - mdpi.com
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 …
aspects that are irreducible to the sum of one's various identities considered individually, but …
Synergy and redundancy in dual decompositions of mutual information gain and information loss
D Chicharro, S Panzeri - Entropy, 2017 - mdpi.com
Williams and Beer (2010) proposed a nonnegative mutual information decomposition,
based on the construction of information gain lattices, which allows separating the …
based on the construction of information gain lattices, which allows separating the …
[HTML][HTML] Invariant components of synergy, redundancy, and unique information among three variables
In a system of three stochastic variables, the Partial Information Decomposition (PID) of
Williams and Beer dissects the information that two variables (sources) carry about a third …
Williams and Beer dissects the information that two variables (sources) carry about a third …
[HTML][HTML] Information fragmentation, encryption and information flow in complex biological networks
Assessing where and how information is stored in biological networks (such as neuronal
and genetic networks) is a central task both in neuroscience and in molecular genetics, but …
and genetic networks) is a central task both in neuroscience and in molecular genetics, but …
The identity of information: how deterministic dependencies constrain information synergy and redundancy
Understanding how different information sources together transmit information is crucial in
many domains. For example, understanding the neural code requires characterizing how …
many domains. For example, understanding the neural code requires characterizing how …