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Volumn 7, Issue 13, 1996, Pages 2246-2250

EEG spike and wave modelled by a stochastic limit cycle

Author keywords

Chaos; Limit cycle; Non linear autoregression; Non linear dynamical systems; Spike and wave

Indexed keywords

ARTICLE; CLINICAL ARTICLE; CONTROLLED STUDY; ELECTROENCEPHALOGRAM; EPILEPSY; HUMAN; MATHEMATICAL MODEL; NONLINEAR SYSTEM; PRIORITY JOURNAL;

EID: 0029852605     PISSN: 09594965     EISSN: None     Source Type: Journal    
DOI: 10.1097/00001756-199609020-00037     Document Type: Article
Times cited : (29)

References (27)
  • 10
    • 0039398977 scopus 로고
    • Identification of nonlinearities and non gaussianities in time series
    • Brillinger et al, eds. Berlin: Springer
    • Ozaki T Identification of nonlinearities and non gaussianities in time series. In: Brillinger et al, eds. New directions in Time Series Analysis. Part I. Berlin: Springer, 1992: 301-340.
    • (1992) New Directions in Time Series Analysis , Issue.1 PART , pp. 301-340
    • Ozaki, T.1
  • 24
    • 0000980647 scopus 로고
    • On the problem of anomalous dispersion in chaoto-chaotic phase transitions in neural masses, and its signification for the management of perceptual information in brains
    • Haken H and Stadler M, eds. Berlin, Springer
    • Freeman WJ. On the problem of anomalous dispersion in chaoto-chaotic phase transitions in neural masses, and its signification for the management of perceptual information in brains. In: Haken H and Stadler M, eds. Synergetics of cognition. Berlin, Springer, 1990.
    • (1990) Synergetics of Cognition
    • Freeman, W.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.