Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations
Recognition of handwritten digits in the real world by a neocognitron
Knowledge-based intelligent techniques in character recognition
Self-Organizing Maps
Spatial Reference Frames for Object Recognition Tuning for Rotations in Depth
Spatial Reference Frames for Object Recognition Tuning for Rotations in Depth
Large-scale Learning with SVM and Convolutional for Generic Object Categorization
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Interpolating vectors for robust pattern recognition
Neural Networks
An evaluation of the neocognitron
IEEE Transactions on Neural Networks
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Neocognitron, which was proposed by Fukushima, is recently studied in several styles. In this paper, we introduce these studies from the both engineering and biological sides. From the engineering side, we discussed about the ability of the pattern classifier of the Neocognitron and relationship to the "convolutional net", which is recently well studied in the field of pattern recognition. From the biological side, we tried to explain the recent result of a biological experiment with the Neocognitron, and compare it with another model.