Nonlinear dynamics of the brain: emotion and cognition

M.I. Rabinovich^a, M.K. Muezzinoglu^b
^aFederal Research Center A.V. Gaponov-Grekhov Institute of Applied Physics of the Russian Academy of Sciences, ul. Ulyanova 46, Nizhny Novgorod, 603000, Russian Federation
^bUniversity of California, 9500 Gilman Dr., San Diego, California, 92093-0402, USA

Experimental investigations of neural system functioning and brain activity are standardly based on the assumption that perceptions, emotions, and cognitive functions can be understood by analyzing steady-state neural processes and static tomographic snapshots. The new approaches discussed in this review are based on the analysis of transient processes and metastable states. Transient dynamics is characterized by two basic properties, structural stability and information sensitivity. The ideas and methods that we discuss provide an explanation for the occurrence of and successive transitions between metastable states observed in experiments, and offer new approaches to behavior analysis. Models of the emotional and cognitive functions of the brain are suggested. The mathematical object that represents the observed transient brain processes in the phase space of the model is a structurally stable heteroclinic channel. The possibility of using the suggested models to construct a quantitative theory of some emotional and cognitive functions is illustrated.

PACS: 05.45.−a, 87.18.Sn, 87.19.L−, 87.19.Ij (all)
DOI: 10.3367/UFNe.0180.201004b.0371
URL: https://ufn.ru/en/articles/2010/4/b/
Web of Science

000280543000002
Scopus

2-s2.0-77958569184
ADS NASA

2010PhyU...53..357R
Citation: Rabinovich M I, Muezzinoglu M K "Nonlinear dynamics of the brain: emotion and cognition" Phys. Usp. 53 357–372 (2010)

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Оригинал: Рабинович М И, Мюезинолу М К «Нелинейная динамика мозга: эмоции и интеллектуальная деятельность» УФН 180 371–387 (2010); DOI: 10.3367/UFNr.0180.201004b.0371

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