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Network simulations of optical illusions

Author

Listed:
  • Troy Shinbrot

    (School of Engineering, Rutgers University, Piscataway, NJ 08854, USA)

  • Miguel Vivar Lazo

    (School of Engineering, Rutgers University, Piscataway, NJ 08854, USA)

  • Theo Siu

    (School of Engineering, Rutgers University, Piscataway, NJ 08854, USA)

Abstract

We examine a dynamical network model of visual processing that reproduces several aspects of a well-known optical illusion, including subtle dependencies on curvature and scale. The model uses a genetic algorithm to construct the percept of an image, and we show that this percept evolves dynamically so as to produce the illusions reported. We find that the perceived illusions are hardwired into the model architecture and we propose that this approach may serve as an archetype to distinguish behaviors that are due to nature (i.e. a fixed network architecture) from those subject to nurture (that can be plastically altered through learning).

Suggested Citation

  • Troy Shinbrot & Miguel Vivar Lazo & Theo Siu, 2017. "Network simulations of optical illusions," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 28(02), pages 1-17, February.
    • Handle: RePEc:wsi:ijmpcx:v:28:y:2017:i:02:n:s0129183117500188
    DOI: 10.1142/S0129183117500188
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