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“Autonomy” and “Dominance” in Neural Systems: Two Examples of Dynamic Properties Defined on Finite State Models

  • Richard F. Reiss

Abstract

During the past twenty years, microelectrode measurements have generated a complex picture of the individual neuron. The neuron is seen to have marked inertial properties; it is not a massless shuttlecock driven from state to state by the blows of input signals. Rather its behavior is a resultant of impinging external forces and ongoing internal processes which reveal themselves in phenomena such as facilitation, adaptation, rebound and “spontaneous” activity.

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References

  1. Culbertson, J. T. (1950). Consciousness and behavior. A neural analysis of behavior and consciousness. Dubuque, Iowa: Wm. C. Brown.Google Scholar
  2. McCulloch, W. S. and Pitts, W. H. (1943). A logical calculus of the ideas immanent in nervous activity. Bull. Math. Biophys. 9: 127–247.Google Scholar

Copyright information

© Springer Science+Business Media New York 1969

Authors and Affiliations

  • Richard F. Reiss
    • 1
  1. 1.Linacre CollegeOxfordEngland

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