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Analysis of Strange Attractors in EEGs with Kinesthetic Experience and 4-D Computer Graphics

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Brain Dynamics

Part of the book series: Springer Series in Brain Dynamics ((SSBD,volume 2))

Abstract

Newly developed techniques for numerical analysis of the time series derived from physical and chemical systems displaying turbulence and other seemingly random behavior have recently been applied to electroencephalographic potentials (EEGs). Estimates for the lower bounds of measures of the fractal dimension, Hausdorff dimension, Lyapunov exponents, Kolmogorov entropy, and other related coefficients have indicated that by suitable means of observation the background “noise” generated by brains may be nonrandom, and may be constrained by as yet undefined aspects of neural mechanisms generating it. In a word, brain activity, at least in some states and in some brain parts, appears to be chaotic and not stochastic (Rapp et al. 1985; Freeman and Viana Di Prisco 1986; Babloyantz and Destexhe 1986; Havstadt and Ehlers 1987; Meyer-Kress 1987; Freeman 1987 a, b, 1988).

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Authors
  1. W. J. Freeman
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Editor information

Editors and Affiliations

  1. Institute of Physiology, Medical University Lübeck, Ratzeburger Allee 160, D-2400, Lübeck 1, Germany

    Erol Başar

  2. Dept. of Neurosciences, A-001, University of California, San Diego La Jolla, CA, 92093, USA

    Theodore H. Bullock

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© 1989 Springer-Verlag Berlin Heidelberg

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Freeman, W.J. (1989). Analysis of Strange Attractors in EEGs with Kinesthetic Experience and 4-D Computer Graphics. In: Başar, E., Bullock, T.H. (eds) Brain Dynamics. Springer Series in Brain Dynamics, vol 2. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-74557-7_40

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  • DOI: https://doi.org/10.1007/978-3-642-74557-7_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-74559-1

  • Online ISBN: 978-3-642-74557-7

  • eBook Packages: Springer Book Archive

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