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A computational model of the trichromatic cone mosaic

1.28571428571

Yoshimi Kamiyama (Information Science and Technology, Aichi Prefectural University), Daiki Sone (Information Science and Technology)

Color vision is mediated by three types of cone photoreceptors, the L, M and S cones. These cells have the function of converting absorbed photons into neural signal with different peak sensitivities at long (L), medium (M) and short (S) wavelengths. The spatial arrangement of the cones, i.e., cone mosaic, samples the continuous image of the world that is focused on the retina and transforms the image into a descrete array of signals that is transmitted to higher stages in the visual information processing.
 
In this study, we developed a computational model of the cone mosaic based on the physiological and anatomical characteristics. The present model incoporated the spectral sensitivities of three types of cones, as well as the nonuniform spatial distributions of cones. The cone mosaic was generated by a stochastic algorithm to reproduce the nonuniformity. The chromatic light response was modeled by the spactral sensitivity and the equations of the membrane dynamics. The present model covers a visual angle of 60 degrees with 2,000,000 cones. The model allows us to analyze how color information is processed in the cone mosaic. In simulation, we produced various types of cone mosaics by changing the LMS cone ratio and/or the spectral sensitivities. We analyzed how the cone mosaic limits our ability to infer the spatial and color information processing present in the retinal image.
A computational model of the trichromatic cone mosaic
Calculation of the information rate of the cone mosaic
Preferred presentation format: Poster
Topic: Computational neuroscience