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- Neocognitron abstract "The neocognitron is a hierarchical, multilayered artificial neural network proposed by Kunihiko Fukushima in the 1980s. It has been used for handwritten character recognition and other pattern recognition tasks, and served as the inspiration for convolutional neural networks.The neocognitron was inspired by the model proposed by Hubel & Wiesel in 1959. They found two types of cells in the visual primary cortex called simple cell and complex cell, and also proposed a cascading model of these two types of cells.The neocognitron is a natural extension of these cascading models. The neocognitron consists of multiple types of cells, the most important of which are called S-cells and C-cells. The local features are extracted by S-cells, and these features' deformation, such as local shifts, are tolerated by C-cells. Local features in the input are integrated gradually and classified in the higher layers. The idea of local feature integration is in several other models, such as LeNet and SIFT model.There are multiple kinds of neocognitron. For example, some types of neocognitron can detect multiple patterns in the same input by using backward signals to achieve selective attention.".
- Neocognitron wikiPageExternalLink neocognitron.
- Neocognitron wikiPageExternalLink index.html.
- Neocognitron wikiPageExternalLink detail.php?item_id=5738.
- Neocognitron wikiPageExternalLink neocognitron-neural-network.html.
- Neocognitron wikiPageExternalLink Neocognitron.
- Neocognitron wikiPageID "6092601".
- Neocognitron wikiPageLength "3369".
- Neocognitron wikiPageOutDegree "19".
- Neocognitron wikiPageRevisionID "673291978".
- Neocognitron wikiPageWikiLink Artificial_neural_network.
- Neocognitron wikiPageWikiLink Attentional_control.
- Neocognitron wikiPageWikiLink Category:Artificial_neural_networks.
- Neocognitron wikiPageWikiLink Complex_cell.
- Neocognitron wikiPageWikiLink Convolutional_neural_network.
- Neocognitron wikiPageWikiLink David_H._Hubel.
- Neocognitron wikiPageWikiLink Deep_learning.
- Neocognitron wikiPageWikiLink Handwriting_recognition.
- Neocognitron wikiPageWikiLink Hubel.
- Neocognitron wikiPageWikiLink LeNet.
- Neocognitron wikiPageWikiLink Pattern_recognition.
- Neocognitron wikiPageWikiLink Receptive_field.
- Neocognitron wikiPageWikiLink Scale-invariant_feature_transform.
- Neocognitron wikiPageWikiLink Scholarpedia.
- Neocognitron wikiPageWikiLink Selective_attention.
- Neocognitron wikiPageWikiLink Self-organizing_map.
- Neocognitron wikiPageWikiLink Simple_cell.
- Neocognitron wikiPageWikiLink Torsten_Wiesel.
- Neocognitron wikiPageWikiLink Unsupervised_learning.
- Neocognitron wikiPageWikiLinkText "Neocognitron".
- Neocognitron wikiPageWikiLinkText "neocognitron".
- Neocognitron hasPhotoCollection Neocognitron.
- Neocognitron wikiPageUsesTemplate Template:Compu-AI-stub.
- Neocognitron wikiPageUsesTemplate Template:Reflist.
- Neocognitron subject Category:Artificial_neural_networks.
- Neocognitron hypernym Network.
- Neocognitron type Article.
- Neocognitron type Broadcaster.
- Neocognitron type Article.
- Neocognitron type Network.
- Neocognitron comment "The neocognitron is a hierarchical, multilayered artificial neural network proposed by Kunihiko Fukushima in the 1980s. It has been used for handwritten character recognition and other pattern recognition tasks, and served as the inspiration for convolutional neural networks.The neocognitron was inspired by the model proposed by Hubel & Wiesel in 1959.".
- Neocognitron label "Neocognitron".
- Neocognitron sameAs نيوكونييترون.
- Neocognitron sameAs Neocognitron.
- Neocognitron sameAs m.0fpr4z.
- Neocognitron sameAs Неокогнитрон.
- Neocognitron sameAs Неокогнітрон.
- Neocognitron sameAs Q669754.
- Neocognitron sameAs Q669754.
- Neocognitron wasDerivedFrom Neocognitron?oldid=673291978.
- Neocognitron isPrimaryTopicOf Neocognitron.