Adıyaman Üniversitesi Kurumsal Arşivi

Building a Minimum Frustration Framework for Brain Functions Over Long Time Scales

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dc.contributor.author Tozzi, Arturo
dc.contributor.author Fla, Tor
dc.contributor.author Peters, James Francis
dc.date.accessioned 2023-06-05T05:38:07Z
dc.date.available 2023-06-05T05:38:07Z
dc.date.issued 2016
dc.identifier.issn 0360-4012
dc.identifier.uri http://dspace.adiyaman.edu.tr:8080/xmlui/handle/20.500.12414/4528
dc.description.abstract The minimum frustration principle (MFP) is a computational approach stating that, over the long time scales of evolution, proteins' free energy decreases more than expected by thermodynamical constraints as their amino acids assume conformations progressively closer to the lowest energetic state. This Review shows that this general principle, borrowed from protein folding dynamics, can also be fruitfully applied to nervous function. Highlighting the foremost role of energetic requirements, macromolecular dynamics, and above all intertwined time scales in brain activity, the MFP elucidates a wide range of mental processes from sensations to memory retrieval. Brain functions are compared with trajectories that, over long nervous time scales, are attracted toward the low-energy bottom of funnel-like structures characterized by both robustness and plasticity. We discuss how the principle, derived explicitly from evolution and selection of a funneling structure from microdynamics of contacts, is unlike other brain models equipped with energy landscapes, such as the Bayesian and free energy principles and the Hopfield networks. In summary, we make available a novel approach to brain function cast in a biologically informed fashion, with the potential to be operationalized and assessed empirically. (C) 2016 Wiley Periodicals, Inc. tr
dc.language.iso en tr
dc.publisher Wiley tr
dc.subject Minimum frustration principle tr
dc.subject Attractors tr
dc.subject Nervous System tr
dc.subject Energy landscape tr
dc.subject Evolution tr
dc.subject Dewetting tr
dc.title Building a Minimum Frustration Framework for Brain Functions Over Long Time Scales tr
dc.type Article tr
dc.contributor.authorID 0000-0001-8426-4860 tr
dc.contributor.department Univ North Texas, Ctr Nonlinear Sci tr
dc.contributor.department Arctic Univ Norway, Dept Math & Stat, Ctr Theoret & Computat Chem tr
dc.contributor.department Univ Manitoba, Dept Elect & Comp Engn tr
dc.contributor.department Adiyaman Univ, Dept Math, tr
dc.identifier.endpage 716 tr
dc.identifier.issue 8 tr
dc.identifier.startpage 702 tr
dc.identifier.volume 94 tr
dc.source.title Journal Of Neuroscıence Research tr


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