A review: relationship between response properties of visual neurons and advances in nonlinear approximation theory

  • Authors:
  • Shan Tan;Xiuli Ma;Xiangrong Zhang;Licheng Jiao

  • Affiliations:
  • National Key Lab for Radar Signal Processing and Institute of Intelligent, Information Processing, Xidian University, Xi'an, China;National Key Lab for Radar Signal Processing and Institute of Intelligent, Information Processing, Xidian University, Xi'an, China;National Key Lab for Radar Signal Processing and Institute of Intelligent, Information Processing, Xidian University, Xi'an, China;National Key Lab for Radar Signal Processing and Institute of Intelligent, Information Processing, Xidian University, Xi'an, China

  • Venue:
  • ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I
  • Year:
  • 2005

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Abstract

In this review, we briefly introduce the 'sparse coding' strategy employed in the sensory information processing system of mammals, and reveal the relationship between the strategy and some new advances in nonlinear approximation theory.