Connectivity analysis in EEG data: a tutorial review of the state of the art and emerging trends

G Chiarion, L Sparacino, Y Antonacci, L Faes, L Mesin - Bioengineering, 2023 - mdpi.com
Understanding how different areas of the human brain communicate with each other is a
crucial issue in neuroscience. The concepts of structural, functional and effective …

Nucleosynthesis in multinucleon transfer reactions

S Heinz, HM Devaraja - The European Physical Journal A, 2022 - Springer
How does one populate still vacant areas on the chart of nuclides? Mainly on the neutron-
rich side several thousand further isotopes are expected to exist, including most of the nuclei …

[图书][B] Transfer entropy

T Bossomaier, L Barnett, M Harré, JT Lizier… - 2016 - Springer
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 …

Multivariate information theory uncovers synergistic subsystems of the human cerebral cortex

TF Varley, M Pope, J Faskowitz, O Sporns - Communications biology, 2023 - nature.com
One of the most well-established tools for modeling the brain is the functional connectivity
network, which is constructed from pairs of interacting brain regions. While powerful, the …

Quantifying high-order interdependencies via multivariate extensions of the mutual information

FE Rosas, PAM Mediano, M Gastpar, HJ Jensen - Physical Review E, 2019 - APS
This paper introduces a model-agnostic approach to study statistical synergy, a form of
emergence in which patterns at large scales are not traceable from lower scales. Our …

Reconciling emergences: An information-theoretic approach to identify causal emergence in multivariate data

FE Rosas, PAM Mediano, HJ Jensen… - PLoS computational …, 2020 - journals.plos.org
The broad concept of emergence is instrumental in various of the most challenging open
scientific questions—yet, few quantitative theories of what constitutes emergent phenomena …

Measuring integrated information: Comparison of candidate measures in theory and simulation

PAM Mediano, AK Seth, AB Barrett - Entropy, 2018 - mdpi.com
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 …

A synergistic core for human brain evolution and cognition

AI Luppi, PAM Mediano, FE Rosas, N Holland… - Nature …, 2022 - nature.com
How does the organization of neural information processing enable humans' sophisticated
cognition? Here we decompose functional interactions between brain regions into …

Information flows? A critique of transfer entropies

RG James, N Barnett, JP Crutchfield - Physical review letters, 2016 - APS
A central task in analyzing complex dynamics is to determine the loci of information storage
and the communication topology of information flows within a system. Over the last decade …

Information decomposition of target effects from multi-source interactions: Perspectives on previous, current and future work

JT Lizier, N Bertschinger, J Jost, M Wibral - Entropy, 2018 - mdpi.com
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 …