A simplified version of Kunihiko Fukushima's Neocognitron.
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 black background. The model demonstrates invariance with respect to lateral shift.
D000818:Animals; D003201:Computers; D008433:Mathematics; D008959:Models, Neurological; D009474:Neurons / Q000502:physiology*; D013569:Synapses / Q000502:physiology; D014793:Visual Cortex / Q000502:physiology*; D014796:Visual Perception