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Lateral inhibitory action in an optical neural network using an internal-light-coupled optical device array.

W Kawakami, K Kitayama, Y Nakano

    Optics Letters
    |September 25, 2009
    PubMed
    Summary

    A new optical neural network design uses a two-dimensional internal-light-coupled optical device (ILCOD) array. Experiments confirm this configuration achieves lateral inhibition, mimicking neural network function through light coupling.

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    Area of Science:

    • Optoelectronics
    • Neural Network Engineering
    • Materials Science

    Background:

    • Traditional neural networks often rely on electronic components.
    • Optical computing offers potential advantages in speed and parallelism.
    • Implementing complex neural network functions optically remains a challenge.

    Purpose of the Study:

    • To propose and experimentally validate a novel optical lateral inhibitory neural network configuration.
    • To demonstrate lateral inhibition using a two-dimensional internal-light-coupled optical device (ILCOD) array.
    • To explore the potential of ILCOD arrays in optical neural network applications.

    Main Methods:

    • Development of a novel optical lateral inhibitory neural network architecture.
    • Fabrication and testing of a specific internal-light-coupled optical device (ILCOD) array with seven units in a hexagonal arrangement.
    • Experimental characterization of optical coupling effects between ILCOD units.

    Main Results:

    • The proposed ILCOD array configuration successfully demonstrated lateral inhibitory action.
    • Optical coupling between units was shown to induce the turn-off of light emission in specific positions.
    • Experimental results validated the functionality of the optical neural network concept.

    Conclusions:

    • The novel ILCOD array configuration is a viable approach for implementing optical lateral inhibition.
    • This work contributes to the advancement of optical neural network hardware.
    • The findings suggest potential for future development in optical computing and neuromorphic systems.