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Zoltan Toroczkai

Explore the profile of Zoltan Toroczkai including associated specialties, affiliations and a list of published articles. Areas
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Articles 37
Citations 1492
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Recent Articles
1.
Wolpert D, Korbel J, Lynn C, Tasnim F, Grochow J, Kardes G, et al.
Proc Natl Acad Sci U S A . 2024 Oct; 121(45):e2321112121. PMID: 39471216
The relationship between the thermodynamic and computational properties of physical systems has been a major theoretical interest since at least the 19th century. It has also become of increasing practical...
2.
Molnar F, Horvat S, Ribeiro Gomes A, Martinez Armas J, Molnar B, Ercsey-Ravasz M, et al.
Netw Neurosci . 2024 Apr; 8(1):138-157. PMID: 38562298
Despite a five order of magnitude range in size, the brains of mammals share many anatomical and functional characteristics that translate into cortical network commonalities. Here we develop a machine...
3.
Malik O, Varga M, Moussawi A, Hunt D, Szymanski B, Toroczkai Z, et al.
Phys Rev E . 2024 Mar; 109(2-1):024113. PMID: 38491611
To better understand the temporal characteristics and the lifetime of fluctuations in stochastic processes in networks, we investigated diffusive persistence in various graphs. Global diffusive persistence is defined as the...
4.
Barabasi D, Bianconi G, Bullmore E, Burgess M, Chung S, Eliassi-Rad T, et al.
J Neurosci . 2023 Aug; 43(34):5989-5995. PMID: 37612141
The brain is a complex system comprising a myriad of interacting neurons, posing significant challenges in understanding its structure, function, and dynamics. Network science has emerged as a powerful tool...
5.
Barabasi D, Bianconi G, Bullmore E, Burgess M, Chung S, Eliassi-Rad T, et al.
ArXiv . 2023 May; PMID: 37214134
The brain is a complex system comprising a myriad of interacting elements, posing significant challenges in understanding its structure, function, and dynamics. Network science has emerged as a powerful tool...
6.
Molnar B, Molnar F, Varga M, Toroczkai Z, Ercsey-Ravasz M
Nat Commun . 2018 Nov; 9(1):4864. PMID: 30451849
Many real-life optimization problems can be formulated in Boolean logic as MaxSAT, a class of problems where the task is finding Boolean assignments to variables satisfying the maximum number of...
7.
Gamanut R, Kennedy H, Toroczkai Z, Ercsey-Ravasz M, Van Essen D, Knoblauch K, et al.
Neuron . 2018 Feb; 97(3):698-715.e10. PMID: 29420935
The inter-areal wiring pattern of the mouse cerebral cortex was analyzed in relation to a refined parcellation of cortical areas. Twenty-seven retrograde tracer injections were made in 19 areas of...
8.
Noori H, Schottler J, Ercsey-Ravasz M, Cosa-Linan A, Varga M, Toroczkai Z, et al.
PLoS Biol . 2017 Jul; 15(7):e2002612. PMID: 28671956
Understanding the rat neurochemical connectome is fundamental for exploring neuronal information processing. By using advanced data mining, supervised machine learning, and network analysis, this study integrates over 5 decades of...
9.
Horvat S, Gamanut R, Ercsey-Ravasz M, Magrou L, Gamanut B, Van Essen D, et al.
PLoS Biol . 2016 Jul; 14(7):e1002512. PMID: 27441598
Mammals show a wide range of brain sizes, reflecting adaptation to diverse habitats. Comparing interareal cortical networks across brains of different sizes and mammalian orders provides robust information on evolutionarily...
10.
Varga M, Sumi R, Toroczkai Z, Ercsey-Ravasz M
Phys Rev E . 2016 Jun; 93(5):052211. PMID: 27300884
Transient chaos is a ubiquitous phenomenon characterizing the dynamics of phase-space trajectories evolving towards a steady-state attractor in physical systems as diverse as fluids, chemical reactions, and condensed matter systems....