Network simulations of optical illusions

Troy Shinbrot, Miguel Vivar Lazo and Theo Siu
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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

International Journal of Modern Physics C (IJMPC), 2017, vol. 28, issue 02, 1-17

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).

Keywords: Optical illusions; network simulations; dynamics (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1142/S0129183117500188

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