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An improved selective attention model considering orientation preferences

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Abstract

An improved selective attention model is proposed in this paper, which is designed as a network of spiking neurons of Hodgkin--Huxley type with star-like connections between the central units and peripheral neurons. In this model, peripheral neurons represent the neurons located in the primary visual cortex. Since orientation preference is an important property of neurons in primary visual cortex, it should be considered except for external stimuli intensity. Simulation results show that the improved model can sequentially select objects with different orientation preferences and has a reliable shift of attention from one object to another, which are consistent with the experimental results that the neurons with different orientation preferences are laid out in pinwheel patterns.

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Acknowledgments

The work is supported by National Natural Science Foundation of China (NSFC) (No. 10872068, 11002055) and the Fundamental Research Funds for the Central Universities.

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Authors and Affiliations

  1. Institute for Cognitive Neurodynamics, School of Information Science and Engineering, School of Science, East China University of Science and Technology, Shanghai, 200237, China

    Jingyi Qu, Rubin Wang & Ying Du

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  1. Jingyi Qu
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  2. Rubin Wang
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  3. Ying Du
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Correspondence to Jingyi Qu.

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Qu, J., Wang, R. & Du, Y. An improved selective attention model considering orientation preferences. Neural Comput & Applic 22, 303–311 (2013). https://doi.org/10.1007/s00521-011-0679-2

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  • DOI: https://doi.org/10.1007/s00521-011-0679-2

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