期刊
PHYSICA D-NONLINEAR PHENOMENA
卷 267, 期 -, 页码 16-26出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.physd.2013.04.009
关键词
Theta neuron; Time-varying network; Kuramoto system; Macroscopic chaos; Quasiperiodicity; Final-state uncertainty
Using recently developed analytical techniques, we study the macroscopic dynamics of a large heterogeneous network of theta neurons in which the neurons' excitability parameter varies in time. We demonstrate that such periodic variation can lead to the emergence of macroscopic chaos, multistability, and final-state uncertainty in the collective behavior of the network. Finite-size network effects and rudimentary control via an accessible macroscopic network parameter is also investigated. (C) 2013 Elsevier B.V. All rights reserved.
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