Study of two different biological insect eye maps with artificial neural network processing

Roy E. Williams; Ronald G. Driggers; William R. Clayton; Laura Anderson; Carl E. Halford

doi:10.1117/12.205173

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6 April 1995 Study of two different biological insect eye maps with artificial neural network processing

Roy E. Williams; Ronald G. Driggers; William R. Clayton; Laura Anderson; Carl E. Halford

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Proceedings Volume 2492, Applications and Science of Artificial Neural Networks; (1995) https://doi.org/10.1117/12.205173
Event: SPIE's 1995 Symposium on OE/Aerospace Sensing and Dual Use Photonics, 1995, Orlando, FL, United States

Abstract

Insect eyes have a large number of facets or lenses, also known as ommatidia or eyelets, with different arrangements of biological photoreceptors coupled to each eyelet. The output of each photoreceptor is coupled to sets of neurons where the optical information is processed. It is interesting to note that different insects are comprised of entirely different visual systems. These varying eyelet arrangements appear to be particular to the insect's habits and habitats. To test this premise, two very different insect ommatidia maps coupled to artificial neural network (NN) processors were modeled and simulated on a silicon graphics workstation. The performance of each ommatidia/NN system was tested in point source target location tasks and finite target location tasks in order to compare the two to each other and to man-made multi- aperture vision systems. The results of these simulations are presented.

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Roy E. Williams, Ronald G. Driggers, William R. Clayton, Laura Anderson, and Carl E. Halford "Study of two different biological insect eye maps with artificial neural network processing", Proc. SPIE 2492, Applications and Science of Artificial Neural Networks, (6 April 1995); https://doi.org/10.1117/12.205173

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