Advertisement

Synergetics of the Brain: An Outline of Some Basic Ideas

  • H. Haken
Part of the Brain Dynamics book series (BD)

Abstract

The interdisciplinary field of synergetics (Haken, 1983, 1987) studies the behavior of complex systems, that is, systems composed of very many elements, or parts, or subsystems. It focuses its attention on those systems that can develop spatial, temporal, or functional structures on macroscopic scales. Examples are provided in physics by fluids that can form specific patterns (e.g., honeycomb patterns or oscillations), laser physics and nonlinear optics, where a great variety of oscillations and wave propagation phenomena occur, chemistry with a formation of macroscopic spiral or ring wave patterns, models in biology of population dynamics, morphogenesis, evolutional processes, and a variety of other fields. Over the past two decades it could be shown that self-organization is governed by general principles that can be summarized as follows: When specific control parameters, which may be the energy input into a system or a specific signal flow, change, the former state of the system becomes unstable and new kinds of structures may emerge. Despite the fact that the system is originally described in general by an enormous number of variables, close to the instability point the dynamics and structure formation are governed by rather few variables, the so-called order parameters. The behavior of the individual elements or parts is governed, or in technical terms, enslaved, by the order parameters.

Keywords

Instability Point High Energy Input Honeycomb Pattern External Periodic Force Wave Propagation Phenomenon 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Başar E (1990): Chaos in Brain Function. Berlin, New York: SpringerGoogle Scholar
  2. Ditzinger T, Haken H (1989): Oscillations in the perception of ambiguous patterns. Biol Cybern 61: 279–287CrossRefGoogle Scholar
  3. Eckhorn R, Reitböck HJ (1990): Stimulus-specific synchronization in cat visual cortex and its possible role in visual pattern recognition. In: Synergetics of Cognition, Haken H, ed. SpringerGoogle Scholar
  4. Friedrich R, Fuchs A, Haken H (1991): Synergetic analysis of spatio-temporal EEG-patterns. In Nonlinear wave process in excitable media, Holden AV, Markus M, and Othmer HG, eds. New York: Plenum PressGoogle Scholar
  5. Gray C, König P, Engel A, Singer W (1990): Synchronization of oscillatory responses in visual cortex: A plausible mechanism for scene segmentation. In: Synergetics of Cognition, Haken H, ed. Berlin, New York: SpringerGoogle Scholar
  6. Haken H (1983): Synergetics, An Introduction, 3rd ed. Berlin New York SpringerGoogle Scholar
  7. Haken H (1984): Laser Theory. In: Encyclopedia of Physics, Vol. XXV/2c. Fluegge S, ed. Berlin, New York: SpringerGoogle Scholar
  8. Haken H (1985): Laser Light Dynamics. Amsterdam: North HollandGoogle Scholar
  9. Haken H (1987): Advanced Synergetics, Instability Hierarchies of Self-Organizing Systems and Devices, Berlin, New York: SpringerGoogle Scholar
  10. Haken H (1990): Synergetic Computers and Cognition. Berlin, New York: SpringerCrossRefGoogle Scholar
  11. Kandel ER (1979): Behavioral Biology of Aplysia. San Francisco: FreemanGoogle Scholar
  12. Lehmann D (1971): Multichannel topography of human alpha EEG fields. Electroencephalogr Clin Neuro physiol 31: 439–449CrossRefGoogle Scholar
  13. Lehmann D (1972): Human scalp EEG fields: Evoked, alpha, sleep, and spike-wave patterns. In: Synchronization of EEG Activity in Epilepsies, Petsche H, Brazier MAB, eds. Berlin, New York: SpringerGoogle Scholar

Copyright information

© Springer Science+Business Media New York 1992

Authors and Affiliations

  • H. Haken

There are no affiliations available

Personalised recommendations