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- Neocognitron abstract "The neocognitron is a hierarchical multilayered neural network proposed by Professor Kunihiko Fukushima. It has been used for handwritten character recognition and other pattern recognition tasks.The neocognitron is inspired by the model proposed by Hubel & Wiesel in 1959. They found two types of cells in visual primary cortex called simple cell and complex cell, and also proposed a cascading model of these two type of cells.The neocognitron is a natural extension of these cascading models. In the neocognitron, which 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 classifying 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 wikiPageRevisionID "598272631".
- Neocognitron hasPhotoCollection Neocognitron.
- Neocognitron subject Category:Neural_networks.
- Neocognitron type Abstraction100002137.
- Neocognitron type Communication100033020.
- Neocognitron type ComputerArchitecture106725249.
- Neocognitron type Description106724763.
- Neocognitron type Message106598915.
- Neocognitron type NeuralNetwork106725467.
- Neocognitron type NeuralNetworks.
- Neocognitron type Specification106725067.
- Neocognitron type Statement106722453.
- Neocognitron comment "The neocognitron is a hierarchical multilayered neural network proposed by Professor Kunihiko Fukushima. It has been used for handwritten character recognition and other pattern recognition tasks.The neocognitron is inspired by the model proposed by Hubel & Wiesel in 1959. They found two types of cells in visual primary cortex called simple cell and complex cell, and also proposed a cascading model of these two type of cells.The neocognitron is a natural extension of these cascading models.".
- Neocognitron label "Neocognitron".
- Neocognitron label "Neocognitron".
- Neocognitron label "Неокогнитрон".
- Neocognitron label "نيوكونييترون".
- Neocognitron sameAs Neocognitron.
- Neocognitron sameAs m.0fpr4z.
- Neocognitron sameAs Q669754.
- Neocognitron sameAs Q669754.
- Neocognitron sameAs Neocognitron.
- Neocognitron wasDerivedFrom Neocognitron?oldid=598272631.
- Neocognitron isPrimaryTopicOf Neocognitron.