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Towards plasma-like collisionless trajectories in the brain

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dc.contributor.author Tozzi, Arturo
dc.contributor.author Peters, James
dc.contributor.author Deli, Eva
dc.date.accessioned 2024-10-28T06:54:26Z
dc.date.available 2024-10-28T06:54:26Z
dc.date.issued 2018
dc.identifier.issn 0304-3940
dc.identifier.uri http://dspace.adiyaman.edu.tr:8080/xmlui/handle/20.500.12414/5331
dc.description.abstract Plasma studies depict collisionless, collective movements of charged particles." In touch with these concepts, originally developed by the far-flung branch of high energy physics, here we evaluate the role of collective behaviors and long-range functional couplingsof charged particlesin brain dynamics. We build a novel, empirically testable, brain model which takes into account collisionless movements of charged particles in a system, the brain, equipped with oscillations. The model is cast in a mathematical fashion with the potential of being operationalized, because it can be assessed in terms of McKean-Vlasov equations, derived from the classical Vlasov equations for plasma. A plasma-like brain also elucidates cortical phase transitions in the context of a brain at the edge of chaos, describing the required order parameters. In sum, showing how the brain might exhibit plasma-like features,we go through the concept of holistic behavior of nervous functions. tr
dc.language.iso en tr
dc.publisher ELSEVIER IRELAND LTD tr
dc.subject FUNCTIONAL CONNECTIVITY tr
dc.subject NEURAL-NETWORKS tr
dc.subject CRITICALITY tr
dc.subject INHIBITION tr
dc.subject EXCITATION tr
dc.subject SYSTEMS tr
dc.subject LIMIT tr
dc.title Towards plasma-like collisionless trajectories in the brain tr
dc.type Article tr
dc.contributor.authorID 0000-0003-1126-1970 tr
dc.contributor.department Univ North Texas, Ctr Nonlinear Sci, tr
dc.contributor.department Univ Manitoba, Dept Elect & Comp Engn, tr
dc.contributor.department Adiyaman Univ, Dept Math tr
dc.contributor.department Adiyaman Univ, Dept Math, Fac Arts & Sci, tr
dc.contributor.department Univ Manitoba, Computat Intelligence Lab, tr
dc.contributor.department ICS, tr
dc.identifier.endpage 109 tr
dc.identifier.startpage 105 tr
dc.identifier.volume 662 tr
dc.source.title NEUROSCIENCE LETTERS tr


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