A computational model of early vision based on synchronized response and inner product operation

Authors:
Zhao Songnian;Zou Qi;Jin Zhen;Yao Guozheng;Yao Li
Affiliations:
LAPC, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China;Department of Computer Science, Beijing Jiaotong University, Beijing 100044, China;fMRI Center of Brain's Function, Beijing 306 Hospital, Chinese People's Liberation Army, Beijing 100101, China;College of Information Science, Peking University, Beijing 100871, China;State Key Laboratory of Cognitive Neuroscience & Learning, School of Information Science and Technology, Beijing Normal University, Beijing 100875, China
Venue:
Neurocomputing
Year:
2010

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Abstract

A new early-vision complete computational model is proposed in this paper, which mainly based on probabilistic reasoning for visual information processing and combination of the synchronized response with the sparse representation. The model consists of multi-scale filtering, phase synchronization and inner product operations, in which the spatial localization, orientation and band-pass characteristics of the functional columns distributed in the cortex V1 can respond to local features in image patches, which obtained from division of retinal image by means of orthogonally divided into image patches according to the size of the receptive field of a ganglion cell. Theoretical analysis and simulated results show that at the system level, the model reflects the nature of the excitation of neurons in the V1 cortex by local characteristics of the external stimuli. Therefore, it may be having some use as a reference in investigations of neural mechanisms in visual information processing.