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. |
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dc.language.iso |
en |
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dc.publisher |
ELSEVIER IRELAND LTD |
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dc.subject |
FUNCTIONAL CONNECTIVITY |
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dc.subject |
NEURAL-NETWORKS |
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dc.subject |
CRITICALITY |
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dc.subject |
INHIBITION |
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dc.subject |
EXCITATION |
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dc.subject |
SYSTEMS |
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dc.subject |
LIMIT |
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dc.title |
Towards plasma-like collisionless trajectories in the brain |
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dc.type |
Article |
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dc.contributor.authorID |
0000-0003-1126-1970 |
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dc.contributor.department |
Univ North Texas, Ctr Nonlinear Sci, |
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dc.contributor.department |
Univ Manitoba, Dept Elect & Comp Engn, |
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dc.contributor.department |
Adiyaman Univ, Dept Math |
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dc.contributor.department |
Adiyaman Univ, Dept Math, Fac Arts & Sci, |
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dc.contributor.department |
Univ Manitoba, Computat Intelligence Lab, |
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dc.contributor.department |
ICS, |
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dc.identifier.endpage |
109 |
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dc.identifier.startpage |
105 |
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dc.identifier.volume |
662 |
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dc.source.title |
NEUROSCIENCE LETTERS |
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