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Binary Signal Analysis in Parity Logic

  • Michael Zaus
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 27)

Abstract

The preceeding mathematical framework provides a number of analytical tools for binary signal analysis. A fundamental task in this field is best described by Papez’ neural integration puzzle regarding the limbic system of human and animal brains ([LED92]). That neurons integrate signals is a well-known fact, but less evident is the way in which this integration takes place, what the integration mechanism is like, how we can backtrack a neuronal response pattern x(t) to those input patterns that determine its shape, and finally, how the response pattern x(t) can be analyzed regarding its constituent components.

Keywords

Boolean Function Binary Vector Time Function Matrix Operator Parity Logic 
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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • Michael Zaus
    • 1
  1. 1.Institute for Cognitive ScienceUniversity of OldenburgOldenburgGermany

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