Neuronal synchrony: peculiarity and generality

Nowotny, Thomas, Huerta, Ramon and Rabinovich, Mikhail I (2008) Neuronal synchrony: peculiarity and generality. Chaos, 18 (3). 037119. ISSN 1054-1500

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Synchronization in neuronal systems is a new and intriguing application of dynamical systems theory. Why are neuronal systems different as a subject for synchronization? (1) Neurons in themselves are multidimensional nonlinear systems that are able to exhibit a wide variety of different activity patterns. Their “dynamical repertoire” includes regular or chaotic spiking, regular or chaotic bursting, multistability, and complex transient regimes. (2) Usually, neuronal oscillations are the result of the cooperative activity of many synaptically connected neurons (a neuronal circuit). Thus, it is necessary to consider synchronization between different neuronal circuits as well. (3) The synapses that implement the coupling between neurons are also dynamical elements and their intrinsic dynamics influences the process of synchronization or entrainment significantly. In this review we will focus on four new problems: (i) the synchronization in minimal neuronal networks with plastic synapses (synchronization with activity dependent coupling), (ii) synchronization of bursts that are generated by a group of nonsymmetrically coupled inhibitory neurons (heteroclinic synchronization), (iii) the coordination of activities of two coupled neuronal networks (partial synchronization of small composite structures), and (iv) coarse grained synchronization in larger systems (synchronization on a mesoscopic scale)

Item Type: Article
Keywords: neurophysiology, nonlinear dynamical systems, synchronisation
Schools and Departments: School of Engineering and Informatics > Informatics
School of Life Sciences > Biology and Environmental Science
Subjects: Q Science > Q Science (General)
Depositing User: Thomas Nowotny
Date Deposited: 18 Sep 2009
Last Modified: 03 Jul 2019 00:07
Google Scholar:19 Citations

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