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Research article summary:

A computational model as neurodecoder based on synchronous oscillation in the visual cortex.

Abstract Extract:
Based on synchronized responses of neuronal populations in the visual cortex to external stimuli, we proposed a computational model consisting primarily of a neuronal phase-locked loop (NPLL) and multiscaled operator. The former reveals the function of ... (Full abstract text below)

Published 2003Oct in Journal: Neural Comput (Language : eng)

Full Pubmed Extract

This information was retrieved, real-time, on your behalf from the public area of the Pubmed website:

1. Neural Comput. 2003 Oct;15(10):2399-418

A computational model as neurodecoder based on synchronous oscillation in the visual cortex.

Songnian Z, Xiaoyun X, Guozheng Y, Zhi F

LAPC, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China. zsnzhao@yeah.net

Based on synchronized responses of neuronal populations in the visual cortex to external stimuli, we proposed a computational model consisting primarily of a neuronal phase-locked loop (NPLL) and multiscaled operator. The former reveals the function of synchronous oscillations in the visual cortex. Regardless of which of these patterns of the spike trains may be an average firing-rate code, a spike-timing code, or a rate-time code, the NPLL can decode original visual information from neuronal spike trains modulated with patterns of external stimuli, because a voltage-controlled oscillator (VCO), which is included in the NPLL, can precisely track neuronal spike trains and instantaneous variations, that is, VCO can make a copy of an external stimulus pattern. The latter, however, describes multi-scaled properties of visual information processing, but not merely edge and contour detection. In this study, in which we combined NPLL with a multiscaled operator and maximum likelihood estimation, we proved that the model, as a neurodecoder, implements optimum algorithm decoding visual information from neuronal spike trains at the system level. At the same time, the model also obtains increasingly important supports, which come from a series of experimental results of neurobiology on stimulus-specific neuronal oscillations or synchronized responses of the neuronal population in the visual cortex. In addition, the problem of how to describe visual acuity and multiresolution of vision by wavelet transform is also discussed. The results indicate that the model provides a deeper understanding of the role of synchronized responses in decoding visual information.

PMID : 14511527 [PubMed - Indexed for MEDLINE]


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Full Author Information

First NameLastNameInitials
ZhaoSongnianZ
XiongXiaoyunX
YaoGuozhengY
FuZhiF

Affiliation: LAPC, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China. zsnzhao@yeah.net

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Category links from this article:

  • Action Potentials - physiology
  • Animals
  • Biological Clocks - physiology
  • Computer Simulation
  • Humans
  • Neurons - physiology
  • Synaptic Transmission - physiology
  • Visual Cortex - physiology
  • Visual Perception - physiology
   

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