High-frequency forced oscillations in neuronlike elements
Author(s) -
Denis Zakharov,
М. М. Крупа,
Boris Gutkin,
Alexey Kuznetsov
Publication year - 2018
Publication title -
physical review. e
Language(s) - English
Resource type - Journals
eISSN - 2470-0053
pISSN - 2470-0045
DOI - 10.1103/physreve.97.062211
Subject(s) - forcing (mathematics) , physics , amplitude , relaxation oscillator , natural frequency , oscillation (cell signaling) , sign (mathematics) , relaxation (psychology) , synchronization (alternating current) , low frequency , chaotic , statistical physics , quantum mechanics , neuroscience , vibration , mathematics , mathematical analysis , computer science , voltage controlled oscillator , chemistry , biology , voltage , topology (electrical circuits) , biochemistry , atmospheric sciences , combinatorics , astronomy , artificial intelligence
We analyzed a generic relaxation oscillator under moderately strong forcing at a frequency much greater that the natural intrinsic frequency of the oscillator. Additionally, the forcing is of the same sign and, thus, has a nonzero average, matching neuroscience applications. We found that, first, the transition to high-frequency synchronous oscillations occurs mostly through periodic solutions with virtually no chaotic regimes present. Second, the amplitude of the high-frequency oscillations is large, suggesting an important role for these oscillations in applications. Third, the 1:1 synchronized solution may lose stability, and, contrary to other cases, this occurs at smaller, but not at higher frequency differences between intrinsic and forcing oscillations. We analytically built a map that gives an explanation of these properties. Thus, we found a way to substantially "overclock" the oscillator with only a moderately strong external force. Interestingly, in application to neuroscience, both excitatory and inhibitory inputs can force the high-frequency oscillations.
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