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Updated: Aug 15, 2026

Adaptation of a Haptic Robot in a 3T fMRI
Published on: October 4, 2011
A simplified version of Kunihiko Fukushima's Neocognitron
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 black background. The model demonstrates invariance with respect to lateral shift.
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