Abstract
In a recent paper, Kunihiko Fukushima described a “Neocognitron: a self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position”. The present paper presents a simplified version of the neocognitron. Whereas the latter employs a 16 x 16-element visual field which requires computer simulation, the simplified model uses a 10-element one-dimensional visual field. Two input examples are analyzed: a white sheet which is gradually lowered over a black background, and a white center dot which gradually stretches vertically in both directions until it covers the balck background. The model demonstrates invariance with respect to lateral shift.
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References
Fukushima, K.: Neocognitron: a self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position. Biol. Cybern.36, 193–202 (1980)
Hubel, D.H., Wiesel, T.N.: Brain mechanisms of vision. Sci. Am.241, 130–144 (1979)
Ruch, T.C.: Vision and the retina. In: Physiology and biophysics-the brain and neural function. Ruch, T.C., Patton, H.D. (eds.), p. 493. Philadelphia: Saunders Co. 1979
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Deutsch, S. A simplified version of Kunihiko Fukushima's neocognitron. Biol. Cybern. 42, 17–21 (1981). https://doi.org/10.1007/BF00335154
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DOI: https://doi.org/10.1007/BF00335154