Zhao Songnian

Summary

Country: China

Publications

  1. pmc A neural computational model for bottom-up attention with invariant and overcomplete representation
    Qi Zou
    Department of Computer Science, Beijing Jiaotong University, Beijing, 100044, China
    BMC Neurosci 13:145. 2012
  2. pmc Neural computation of visual imaging based on Kronecker product in the primary visual cortex
    Zhao Songnian
    LAPC, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
    BMC Neurosci 11:43. 2010
  3. ncbi request reprint A computational model as neurodecoder based on synchronous oscillation in the visual cortex
    Zhao Songnian
    LAPC, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
    Neural Comput 15:2399-418. 2003

Collaborators

  • Yao Li
  • Qi Zou
  • Zhe Wang
  • Yaping Huang
  • Songnian Zhao

Detail Information

Publications3

  1. pmc A neural computational model for bottom-up attention with invariant and overcomplete representation
    Qi Zou
    Department of Computer Science, Beijing Jiaotong University, Beijing, 100044, China
    BMC Neurosci 13:145. 2012
    ....
  2. pmc Neural computation of visual imaging based on Kronecker product in the primary visual cortex
    Zhao Songnian
    LAPC, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
    BMC Neurosci 11:43. 2010
    ..For the reconstruction of the visual image in the visual cortex V1 based on the principle of minimum mean squares error, it is natural to use the inner product expression in neural computation, which then is transformed into matrix form...
  3. ncbi request reprint A computational model as neurodecoder based on synchronous oscillation in the visual cortex
    Zhao Songnian
    LAPC, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China
    Neural Comput 15:2399-418. 2003
    ..The results indicate that the model provides a deeper understanding of the role of synchronized responses in decoding visual information...