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Towards the Neural Level

  • Hermann Haken
Part of the Springer Series in Synergetics book series (SSSYN, volume 50)

Abstract

In previous chapters we have developed mathematical models that can reproduce cognitive abilities and can be implemented on serial or certain kinds of parallel computers. In this chapter we will go one step further: we shall investigate the extent to which such models can be linked to the properties of neurones that have been studied experimentally in a number of animals. It is not our task here to present all the physiological details; we merely discuss a few salient features which are decisive for the functioning of neurones within the neural network of a brain.

Keywords

Phase Angle Associative Memory Phase Oscillator Rotate Wave Approximation Pattern Vector 
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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Reference

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Hermann Haken
    • 1
  1. 1.Institut für Theoretische Physik und SynergetikUniversität StuttgartStuttgartGermany

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