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Developing an artificial retina by evolutionary cellular automata and self-organizing neural networks

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Abstract

Retinas are very important for human beings to get information about their environment. In this paper, we propose a new method to build artificial retinas which have many features similar to real ones. We use evolutionary cellular automata to extract some basic characteristics of objects, and use self-organizing neural networks to distinguish different objects. The results indicate a way to get computer vision by artificial life.

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Correspondence to X. Wu.

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Wu, X., Zhang, Y. & Sugisaka, M. Developing an artificial retina by evolutionary cellular automata and self-organizing neural networks. Artif Life Robotics 3, 61–64 (1999). https://doi.org/10.1007/BF02481248

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  • DOI: https://doi.org/10.1007/BF02481248

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