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Volumn 63, Issue 5, 2001, Pages

Phase clustering and transition to phase synchronization in a large number of coupled nonlinear oscillators

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; CHAOS THEORY; LYAPUNOV METHODS; MATHEMATICAL MODELS; PROBABILITY DISTRIBUTIONS; SYNCHRONIZATION;

EID: 0035334602     PISSN: 1063651X     EISSN: None     Source Type: Journal    
DOI: 10.1103/PhysRevE.63.055201     Document Type: Article
Times cited : (61)

References (29)
  • 22
  • 23
    • 0003700173 scopus 로고    scopus 로고
    • Springer-Verlag, New York
    • In the frequency-modulation theory of neural networks, subpopulations that are synchronized can interchange information using phase and frequency modulation. Therefore, the extent of phase clustering could bear on the recruitment of network elements to populations that can interact. These can be reprogrammed by changing attributes of the elements, for example through conditioning by chemical pools in which they reside. See, for example, F. Hoppensteadt and E. M. Izhikevich, Weakly Connected Neural Networks (Springer-Verlag, New York, 1997).
    • (1997) Weakly Connected Neural Networks
    • Hoppensteadt, F.1    Izhikevich, E.M.2
  • 28
    • 85035279185 scopus 로고    scopus 로고
    • general, for chaotic flows with a well defined rotational structure, we expect this separation in the time scales of phase and amplitude variables to be approximately true. For other cases, this approximation may or may not be valid
    • In general, for chaotic flows with a well defined rotational structure, we expect this separation in the time scales of phase and amplitude variables to be approximately true. For other cases, this approximation may or may not be valid.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.