Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position

@article{Fukushima2004NeocognitronAS,
  title={Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position},
  author={Kunihiko Fukushima},
  journal={Biological Cybernetics},
  year={2004},
  volume={36},
  pages={193-202}
}
  • K. Fukushima
  • Published 2004
  • Computer Science, Medicine
  • Biological Cybernetics
A neural network model for a mechanism of visual pattern recognition is proposed in this paper. [...] Key Result Neither is it affected by a small change in shape nor in size of the stimulus pattern.Expand
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References

SHOWING 1-10 OF 22 REFERENCES
Self-Organization of a Neural Network which Gives Position-Invariant Response
TLDR
A new algorithm for self-organizing a multilayered neural network which has an ability to recognize patterns based on the geometrical similarity of their shapes, whose nickname is "neo-cognitron", has a structure similar to the hierarchy model of the visual nervous system proposed by Hubel and Wiesel. Expand
Cognitron: A self-organizing multilayered neural network
  • K. Fukushima
  • Computer Science, Medicine
  • Biological Cybernetics
  • 2004
TLDR
A new hypothesis for the organization of synapses between neurons is proposed: “The synapse from neuron x to neuron y is reinforced when x fires provided that no neuron in the vicinity of y is firing stronger than y”, and a new algorithm with which a multilayered neural network is effectively organized can be deduced. Expand
Visual properties of neurons in inferotemporal cortex of the Macaque.
TLDR
There are several lines of evidence suggesting that a possible site for further processing of visual information and perhaps even for storage of such information might, in the monkey, be inferotemporal cortexthe cortex on the inferior convexity of the temporal lobe. Expand
Ferrier lecture - Functional architecture of macaque monkey visual cortex
  • D. Hubel, T. Wiesel
  • Geography, Medicine
  • Proceedings of the Royal Society of London. Series B. Biological Sciences
  • 1977
TLDR
In most respects the above description fits the newborn monkey just as well as the adult, suggesting that area 17 is largely genetically programmed. Expand
Functional architecture of macaque monkey visual cortex
TLDR
By four independent anatomical methods it has been shown that these columns have an ocular dominance column all cells respond preferentially to the same eye, in that cells with common physiological properties are grouped together in vertically organized systems of columns. Expand
RECEPTIVE FIELDS AND FUNCTIONAL ARCHITECTURE IN TWO NONSTRIATE VISUAL AREAS (18 AND 19) OF THE CAT.
TLDR
To UNDERSTAND VISION in physiological terms represents a formidable problem for the biologist, and one approach is to stimulate the retina with patterns of light while recording from single cells or fibers at various points along the visual pathway. Expand
With 2 Plate and 20 Text-ftgutre8 Receptive Fields, Binocular Interaction and Functional Architecture in the Cat's Visual Cortex Cat Visual Cortex Part I Organization of Receptive Fields in Cat's Visual Cortex: Properties of 'simple' and 'complex' Fields Complex Receptive Fields
What chiefly distinguishes cerebral cortex from other parts of the central nervous system is the great diversity of its cell types and inter-connexions. It would be astonishing if such a structureExpand
Feature Extraction and Recognition of Handwritten Characters by Homogeneous Layers
TLDR
It is not necessary that an artificial recognition system is constructed in the same way as neuronal systems; but if it is based on the same principles of perception — as far as they are known — it might have a better chance of performing the same recognition operation. Expand
Japan
Although the Japanese economy continues a moderate recovery, domestic consumption shows signs of difficulty due to uncertain global economic outlook resulting from on-going trade disputes. In 2018,Expand
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