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Autor:
Varley, Thomas F.
This brief note considers the problem of estimating temporal synergy and integrated information in dyadic dynamical processes. One of the standard estimators of dynamic synergy is based on the minimal mutual information between sets of elements, howe
Externí odkaz:
http://arxiv.org/abs/2407.16601
Autor:
Varley, Thomas F.
Since its introduction in 2011, the partial information decomposition (PID) has triggered an explosion of interest in the field of multivariate information theory and the study of emergent, higher-order ("synergistic") interactions in complex systems
Externí odkaz:
http://arxiv.org/abs/2402.08135
Autor:
Varley, Thomas F., Bongard, Joshua
There has recently been an explosion of interest in how "higher-order" structures emerge in complex systems. This "emergent" organization has been found in a variety of natural and artificial systems, although at present the field lacks a unified und
Externí odkaz:
http://arxiv.org/abs/2401.14347
Autor:
Varley, Thomas F., Havert, Daniel, Fosque, Leandro, Alipour, Abolfazl, Weerawongphrom, Naruepon, Naganobori, Hiroki, O'Shea, Lily, Pope, Maria, Beggs, John
Most of the recent work in psychedelic neuroscience has been done using non-invasive neuroimaging, with data recorded from the brains of adult volunteers under the influence of a variety of drugs. While this data provides holistic insights into the e
Externí odkaz:
http://arxiv.org/abs/2310.20582
Autor:
Varley, Thomas F.
Since its introduction, the partial information decomposition (PID) has emerged as a powerful, information-theoretic technique useful for studying the structure of (potentially higher-order) interactions in complex systems. Despite its utility, the a
Externí odkaz:
http://arxiv.org/abs/2309.08003
Autor:
Varley, Thomas F.
In the 21st century, many of the crucial scientific and technical issues facing humanity can be understood as problems associated with understanding, modelling, and ultimately controlling complex systems: systems comprised of a large number of non-tr
Externí odkaz:
http://arxiv.org/abs/2304.12482
The standard approach to modeling the human brain as a complex system is with a network, where the basic unit of interaction is a pairwise link between two brain regions. While powerful, this approach is limited by the inability to assess higher-orde
Externí odkaz:
http://arxiv.org/abs/2301.05307
Autor:
Varley, Thomas F.
"Emergence", the phenomenon where a complex system displays properties, behaviours, or dynamics not trivially reducible to its constituent elements, is one of the defining properties of complex systems. Recently, there has been a concerted effort to
Externí odkaz:
http://arxiv.org/abs/2208.14502
One of the most well-established tools for modeling the brain as a complex system is the functional connectivity network, which examines the correlations between pairs of interacting brain regions. While powerful, the network model is limited by the
Externí odkaz:
http://arxiv.org/abs/2206.06477
Autor:
Rosas, Fernando E., Mediano, Pedro A. M., Luppi, Andrea I., Varley, Thomas F., Lizier, Joseph T., Stramaglia, Sebastiano, Jensen, Henrik J., Marinazzo, Daniele
Publikováno v:
Nature Physics (2022)
Battiston et al. (arXiv:2110.06023) provide a comprehensive overview of how investigations of complex systems should take into account interactions between more than two elements, which can be modelled by hypergraphs and studied via topological data
Externí odkaz:
http://arxiv.org/abs/2203.12041