Optical competitive learning with, VLSI/liquid-crystal winner-take-all modulators.

@article{Wagner1993OpticalCL,
  title={Optical competitive learning with, VLSI/liquid-crystal winner-take-all modulators.},
  author={K. Wagner and T. Slagle},
  journal={Applied optics},
  year={1993},
  volume={32 8},
  pages={
          1408-35
        }
}
  • K. Wagner, T. Slagle
  • Published 1993
  • Computer Science, Medicine
  • Applied optics
    • A new approach to self-aligning unsupervised optical learning based on the competitive learning algorithm and adaptive holographic interconnectións is introduced. A volume hologram is used to diffract the light from an input spatial light modulator so that it focuses upon a custom winner-take-all very-large-scale-integrated circuit liquid-crystal spatial light modulator. The units that receive the most light switch to a reflective state, and the light reflected from the winning pixels… CONTINUE READING
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    References

    SHOWING 1-10 OF 78 REFERENCES
    Competitive Optical Learning with Winner-Take-All Modulators,
    • 3
    Multilayer optical learning networks.
    • 167
    • PDF
    Experiments of learning in optical perceptron-like and multilayer neural networks
    • 6
    Winner-take-all spatial light modulator.
    • 16
    Evaluation of an nMOS VLSI array for an adaptive liquid-crystal spatial light modulator
    • 23
    Photorefractive volume holography in artificial neural networks
    • 4
    Development of a spatial light modulator: a randomly addressed liquid-crystal-over-nMOS array.
    • 46
    Subtracting incoherent optical neuron model: analysis, experiment, and applications.
    • 26
    Self-organizing optical neural network for unsupervised learning
    • 16
    Optical connectionist machine with polarization-based bipolar weight values
    • 40