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Volumn 64, Issue 6, 2001, Pages 8-

Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: Dependence on recording region and brain state

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EID: 84867708872     PISSN: 1063651X     EISSN: None     Source Type: Journal    
DOI: 10.1103/PhysRevE.64.061907     Document Type: Article
Times cited : (283)

References (57)
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    • edited by H. O. Lüders
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    • (1991) Epilepsy Surgery , pp. 51-61
    • Lüders, H.O.1    Awad, I.2
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    • 85035274498 scopus 로고    scopus 로고
    • A. S. Weigend and N. A. Gershenfeld, Time Series Prediction: Forecasting the Future and Understanding the Past, Proceedings of the Santa Fe Institute Studies in the Science of Complexity Vol. XV (Addison -Wesley, Reading, 1993)
    • A. S. Weigend and N. A. Gershenfeld, Time Series Prediction: Forecasting the Future and Understanding the Past, Proceedings of the Santa Fe Institute Studies in the Science of Complexity Vol. XV (Addison -Wesley, Reading, 1993).
  • 46
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    • F. Takens, in Dynamical Systems and Turbulence, edited by D. A. Rand and L.-S. Young, Lecture Notes in Mathematics Vol. 898 (Springer-Verlag, Berlin, 1980), p. 366–381
    • F. Takens, in Dynamical Systems and Turbulence, edited by D. A. Rand and L.-S. Young, Lecture Notes in Mathematics Vol. 898 (Springer-Verlag, Berlin, 1980), p. 366–381.
  • 48
    • 85035281213 scopus 로고    scopus 로고
    • J. D. Farmer and J. J. Sidorowich, Exploiting Chaos to Predict the Future and Reduce Noise, in Evolution, Learning, and Cognition, edited by Y.-C. Lee (World Scientific, Singapore, 1988), pp. 277–330
    • J. D. Farmer and J. J. Sidorowich, Exploiting Chaos to Predict the Future and Reduce Noise, in Evolution, Learning, and Cognition, edited by Y.-C. Lee (World Scientific, Singapore, 1988), pp. 277–330.
  • 57
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    • EEG time series are available under http://www.meb.uni-bonn.de/epileptologie/science/physik/eegdata.html Contribution of further sets of EEG time series is encouraged
    • EEG time series are available under http://www.meb.uni-bonn.de/epileptologie/science/physik/eegdata.html Contribution of further sets of EEG time series is encouraged.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.