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Nonlinear Optical Neural Networks: Dynamic Ring Oscillators

  • Dana Z. Anderson
Part of the Springer Study Edition book series (volume 41)

Abstract

We analyze the dynamics of a simple nonlinear optical circuit and draw upon analogies with neural network models. A key element in the circuit is a dynamic holographic medium, a photorefractive medium, which serves as a long-term memory. We discuss associative recall with the device in the context of competition among the memory states of the system. When the system is not being addressed, it will forget in time the stored items. At the same time, the system can display an unlearning phenomenon whereby long-term memory traces tend to equalize their strengths. Under other conditions the system will become obsessive, forgetting all memory traces except for one.

Keywords

Neural Network Model Memory Trace Input Port Optical Field Gain Medium 
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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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 1989

Authors and Affiliations

  • Dana Z. Anderson
    • 1
  1. 1.Department of Physics and Joint Institute for Laboratory AstrophysicsUniversity of ColoradoBoulderUSA

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