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International Conference on Artificial Neural Networks

ICANN 2010: Artificial Neural Networks – ICANN 2010 pp 174–183Cite as

Learning Internal Representation of Visual Context in a Neural Coding Network

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6352))

Abstract

Visual context plays a significant role in humans’ gaze movement for target searching. How to transform the visual context into the internal representation of a brain-like neural network is an interesting issue. Population cell coding is a neural representation mechanism which was widely discovered in primates’ visual neural system. This paper presents a biologically inspired neural network model which uses a population cell coding mechanism for visual context representation and target searching. Experimental results show that the population-cell-coding generally performs better than the single-cell-coding system.

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Author information

Authors and Affiliations

  1. Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100190, China

    Jun Miao

  2. Department of Information Science and Technology, College of Arts and Science of Beijing Union University, Beijing, 100083, China

    Baixian Zou

  3. School of Information Science and Engineering, Graduate University of the Chinese Academy of Sciences, Beijing, 100049, China

    Laiyun Qing

  4. College of Computer Science and Technology, Beijing University of Technology, Beijing, 100124, China

    Lijuan Duan

  5. Department of Computing, University of Surrey, Guildford, Surrey, UK, GU2 7XH

    Yu Fu

Authors
  1. Jun Miao
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  2. Baixian Zou
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  3. Laiyun Qing
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  4. Lijuan Duan
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  5. Yu Fu
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Editor information

Editors and Affiliations

  1. Department of Informatics, TEI of Thessaloniki, 57400, Sindos, Greece

    Konstantinos Diamantaras

  2. School of Physics, Astronomy, and Informatics, Department of Informatics, Nicolaus Copernicus University, ul. Grudziadzka 5, 87-100, Torun, Poland

    Wlodek Duch

  3. Department of Forestry and Management of the Environment and Natural Resources, Democritus University of Thrace, Pantazidou 193, 68200, Orestiada, Thrace, Greece

    Lazaros S. Iliadis

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© 2010 Springer-Verlag Berlin Heidelberg

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Cite this paper

Miao, J., Zou, B., Qing, L., Duan, L., Fu, Y. (2010). Learning Internal Representation of Visual Context in a Neural Coding Network. In: Diamantaras, K., Duch, W., Iliadis, L.S. (eds) Artificial Neural Networks – ICANN 2010. ICANN 2010. Lecture Notes in Computer Science, vol 6352. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15819-3_22

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  • DOI: https://doi.org/10.1007/978-3-642-15819-3_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15818-6

  • Online ISBN: 978-3-642-15819-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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