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Simulation of Visual Attention Using Hierarchical Spiking Neural Networks

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Bio-Inspired Computing and Applications (ICIC 2011)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 6840))

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Abstract

Based on the information processing functionalities of spiking neurons, a hierarchical spiking neural network model is proposed to simulate visual attention. The network is constructed with a conductance-based integrate-and-fire neuron model and a set of specific receptive fields in different levels. The simulation algorithm and properties of the network are detailed in this paper. Simulation results show that the network is able to perform visual attention to extract objects based on specific image features. Using extraction of horizontal and vertical lines, a demonstration shows how the network can detect a house in a visual image. Using this visual attention principle, many other objects can be extracted by analogy.

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Author information

Authors and Affiliations

  1. Intelligent Systems Research Center, School of Computing and Intelligent Systems, University of Ulster at Magee, Londonderry, BT48 7JL, Northern Ireland, UK

    QingXiang Wu, T. Martin McGinnity & Liam Maguire

  2. School of Physics and OptoElectronics Technology, Fujian Normal University, Fuzhou, 350007, China

    QingXiang Wu, Rongtai Cai & Meigui Chen

Authors
  1. QingXiang Wu
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  2. T. Martin McGinnity
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  3. Liam Maguire
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  4. Rongtai Cai
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  5. Meigui Chen
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Editor information

Editors and Affiliations

  1. School of Electronics and Information Engineering, Tongji University, 4800 Caoan Road, 201804, Shanghai, China

    De-Shuang Huang

  2. School of Computer and Communication Engineering, Zhengzhou University of Light Industry, No. 5, Dongfeng Road, Jinshui District, 450002, Zhengzhou, Henan, China

    Yong Gan

  3. School of Electrical, Computer & Telecommunications Engineering, University of Wollongong, 2522, P.O. Box, North Wollongong, NSW, Australia

    Prashan Premaratne

  4. School of Computer Science and Engineering, Inha University, 402-751, Inchon, Korea

    Kyungsook Han

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© 2012 Springer-Verlag Berlin Heidelberg

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Wu, Q., McGinnity, T.M., Maguire, L., Cai, R., Chen, M. (2012). Simulation of Visual Attention Using Hierarchical Spiking Neural Networks. In: Huang, DS., Gan, Y., Premaratne, P., Han, K. (eds) Bio-Inspired Computing and Applications. ICIC 2011. Lecture Notes in Computer Science(), vol 6840. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24553-4_5

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  • DOI: https://doi.org/10.1007/978-3-642-24553-4_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24552-7

  • Online ISBN: 978-3-642-24553-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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