Weakly connected quasi-periodic oscillators, FM interactions, and multiplexing in the brain

被引:43
作者
Izhikevich, EM [1 ]
机构
[1] Arizona State Univ, Ctr Syst Sci & Engn, Tempe, AZ 85287 USA
关键词
weakly connected neural networks; invariant manifolds; quasi-periodic oscillators; chaos; phase model; resonances; FM interactions; multiplexing; oscillatory neurocomputer; thalamocortical system;
D O I
10.1137/S0036139997330623
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
We prove that weakly connected networks of quasi-periodic (multifrequency) oscillators can be transformed into a phase model by a continuous change of variables. The phase model has the same form as the one for periodic oscillators with the exception that each phase variable is a vector. When the oscillators have mutually nonresonant frequency (rotation) vectors, the phase model uncouples. This implies that such oscillators do not interact even though there might be physical connections between them. When the frequency vectors have mutual low-order resonances, the oscillators interact via phase deviations. This mechanism resembles that of the FM radio, with a shared feature-multiplexing of signals. Possible applications to neuroscience are discussed.
引用
收藏
页码:2193 / 2223
页数:31
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