Abstract
This paper presents an outline of our brain theory that we have developed over the past 30 years. Some remarks on the early stages of Synergetics that I initiated some 40 years ago are included. Using basic concepts of Synergetics such as order parameters and the slaving principle, brain functions are modeled both at the macroscopic (order parameter) and the microscopic (neuronal) levels. I deal with movement coordination, psychophysics (ambiguous figures), pattern recognition by the synergetic computer, my “light house model” of a neural net, and give some hints at applications to psychology and psychotherapy (“principle of indirect steering”). Finally, I discuss relations between Synergetics and Complexity Science.
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References
Basar, E., Flohr, H., Haken, H., Mandell, A.J.: Synergetics of the Brain. Springer Verlag, Berlin (1983)
Haken, H., Graham, R.: Synergetik, die Lehre vom Zusammenwirken. Umschau 6, 191–195 (1971)
Maiman, T.H.: Stimulated optical radiation in ruby. Nature 187, 493–494 (1960)
Haken, H.: A Nonlinear Theory of Laser Noise and Coherence. 1. Zeitschrift für Physik 181, 96–124 (1964)
Bénard, H.: Rev. Gen. Sci. Pures Appl. 11 1261, 1309 (1900)
Bodenschatz, E., Cannell, D.S., de Bruyn, J.R., Ecke, R., Hu, Y.-C., Lerman, K., Ahlers, G.: Experiments on three systems with non-variational aspects. Physica D 61, 77–93 (1992)
Bestehorn, M., Fantz, M., Friedrich, R., Haken, H.: Hexagonal and spiral patterns of thermal convection. Phys. Lett. A 174, 48–52 (1993)
Weidlich, W.: The statistical description of polarization phenomena in society. Brit. J. Math. Stat. 24, 251–266 (1951)
Eigen, M.: The self-organization of matter and the evolution of biological macromolecules. Naturwissenschaften 58, 465–523 (1971)
Eigen, M., Schuster, P.: The Hypercycle: A Principle of Natural Self-Organization. Springer, New York (1979)
Weidlich, W.: Sociodynamics: A Systematic Approach to Mathematical Modelling in the Social Sciences. Harwood Academic Publishers, Amsterdam (2000)
Haken, H. (ed.): Synergetics. Cooperative Phenomena in Multi-Component Systems. B.G. Teubner, Stuttgart (1973)
Haken, H.: Synergetics. An Introduction. Nonequilibrium Phase Transitions and Self-Organization in Physics, Chemistry and Biology. Springer, Berlin (1977)
Haken, H. (ed.): Springer Series in Synergetics, founded in 1977, now part of the Springer Complexity Program. Springer, Berlin
Haken, H.: Advanced Synergetics. Instability Hierarchies of Self-Organizing Systems and Devices. Springer, Berlin (1983)
Haken, H.: Synergetics. Introduction and Advanced Topics. Springer, Berlin (2004)
Von Bertalanffi, L.: The theory of open systems in physics and biology. Science 111, 23–29 (1950)
Von Bertalanffi, L.: Biophysik des Fließgleichgewichts. Vieweg, Braunschweig (1953)
Pliss, V.A.: A reduction principle in the theory of stability of motion. IZV. Akad. Nauk SSSR., Mat. Ser. 28, 1297 (1964)
Kelley, A.: In: Abraham, R., Robbin, J. (eds.) Transversal Mappings and Flows. Benjamin, New York (1967)
Robinson, J.C.: Finite-dimensional behavior in dissipative partial differential equations. Chaos 5, 330–345 (1985)
Landau, L.D., Lifshitz, I.M.: Course of Theoretical Physics, vol. 5. Statistical Physics. Pergamon-Press, London (1959)
Kelso, J.A.S.: On the oscillatory basis of movements. Bulletin of Psychonomic Society 18, 63 (1981)
Haken, H., Kelso, J.A.S., Bunz, H.: A Theoretical model of phase transitions in human movements. Biol. Cybernetics 51, 347–356 (1985)
Kelso, J.A.S., Scholz, J.P., Schöner, G.: Non-equilibrium phase transitions in coordinated biological motion: Critical fluctuations. Physics Letters A 118, 279–284 (1986)
Kelso, J.A.S.: Dynamic patterns: The self-organization of brain and behavior. MIT Press, Boston (1995)
Haken, H.: Principles of Brain Functioning. A Synergetic approach to Brain Activity, Behavior and Cognition. Springer, Berlin (1996)
Kelso, S. (ed.), Monograph Series: Understanding Complex Systems, as part of the Springer Complexity Program. Springer, Berlin
Köhler, W.: Die physischen Gestalten in Ruhe und im stationären Zustand. Vieweg, Braunschweig (1920)
Ditzinger, T., Haken, H.: Oscillations in the perception of ambiguous patterns. Biol. Cybern. 61, 279–287 (1989)
Borsellino, A., deMarco, A., Allazetta, A., Rinesi, S., Bartollini, B.: Reversal time distribution in the perception of visual ambiguous stimuli. Kybernetik 10, 139–144 (1972)
Borsellino, A., Carlini, R., Riani, M., Tuccio, M.T., deMarco, A., Penengo, P., Trabucco, A.: Effects of visual angle on perspective reversal for ambiguous patterns. Perception 11, 263–273 (1982)
Haken, H.: Synergetic computers and cognition. Springer, Berlin (1991)
Fuchs, A., Haken, H.: Pattern recognition and associative memory as dynamical process in a synergetic system I+II, Erratum. Biol. Cybern. 60, 17–22, 107–109, 476 (1988)
Hopfield, J.J.: Neural networks andphysical systems with emergent collective computational abilities. Proc. Natl. Acad. Sci. 79, 2554–2558 (1982)
Carpenter, C., Grossberg, S.: The art of adaptive pattern recognition by a self-organizing neural network. Computer, 77–87, March 1980
Haken, H.: Brain Dynamics. An Introduction to Models and Simulations. Springer, Berlin (2002/2007)
Haken, H.: Synergetic computers for pattern recognition and associative memory. In: Haken, H. (ed.) Computational Systems, Natural and Artificial, pp. 2–22. Springer, Berlin (1987)
Gray, C.M., Singer, W.: Stimulus specific neuronal oscillations in orientation columns of cat visual cortex. Proc. Natl. Acad. Sci. USA 86, 1698–1702 (1987)
Eckhorn, R., Bauer, R., Jordan, W., Brosch, M., Kruse, W., Munk, M., Reitblöck, H.J.: Coherent oscillations: a mechanism of feature linking in the visual cortex? Multiple electrode and correlation analyses in the cat. Biol. Cybern. 60, 121–130 (1988)
Alberts, B., Johnson, A., Lewis, J., Raff, M., Roberts, K., Walter, P.: Molecular Biology of the Cell, 5th edn., Garland Science, Part of Taylor and Francis Group LLC (2008)
Haken, H., Levi, P.: Synergetic agents. From multi-robot systems to molecular robotics. Wiley, Weinheim (2012)
Haken, H., Schiepek, G.: Synergetik in der Psychologie. Hogrefe, Göttingen (2006)
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Haken, H. (2016). The Brain as a Synergetic and Physical System. In: Wunner, G., Pelster, A. (eds) Selforganization in Complex Systems: The Past, Present, and Future of Synergetics. Understanding Complex Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-27635-9_10
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DOI: https://doi.org/10.1007/978-3-319-27635-9_10
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