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Perceptual Learning Model on Recognizing Chinese Characters

  • Jiawei Chen
  • Yan Liu
  • Xiaomeng Li
  • Liujun Chen
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8866)

Abstract

Perceptual learning is the improvement in performance on a variety of simple sensory tasks through practice. Based on the perceptual model, with the lateral interaction applied to the neurons of the middle layer, a neural network is developed to simulate the transition of perceptual mode from global perception to local perception in the process of Chinese characters learning. Using some Chinese characters with the same structure to train the network, the components and radicals of the Chinese characters can be extracted through the local perceptual mode. The perceptual learning process under the damage of neural connections is also simulated, and the result are coincident with the somatosensory cortex changes experiment on owl monkeys. It is a self-organization process, in which the lateral interaction among the neurons are the core mechanism.

Keywords

Perceptual learning Lateral interaction Neural network Self organization 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Jiawei Chen
    • 1
  • Yan Liu
    • 1
  • Xiaomeng Li
    • 1
  • Liujun Chen
    • 1
  1. 1.School of Systems ScienceBeijing Normal UniversityBeijingPeople’s Republic of China

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