Response synchronization: New progress in brain-visual information processing

作     者：ZHAO Songnian, XIONG Xiaoyun, YAO Guozheng and GUO Aike1. State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry , Institute of Atmospheric Physics , Chinese Academy of Sciences , Beijing 100029, China 2. Commission of the National Natural Science Foundation of China , Beijing 100083, China 3. The Center of Information Science , Peking University, Beijing 100871, China 4. Open Laboratory of Visual Information Processing , Institute of Biophysics , Chinese Academy of Sciences , Beijing 100101, China 

作者机构：State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China Commission of the National Natural Science Foundation of China Beijing China The Center of Information Science Peking University Beijing China Open Laboratory of Visual Information Processing Institute of Biophysics Chinese Academy of Sciences Beijing China 

出 版 物：《Chinese Science Bulletin》 (科学通报(英文版))

年 卷 期：1999年第44卷第16期

页      面：1447-1458页

核心收录：

学科分类：0711[理学-系统科学] 07[理学] 08[工学] 080401[工学-精密仪器及机械] 0804[工学-仪器科学与技术] 080402[工学-测试计量技术及仪器] 

基　　金：National Natural Science Foundation of China NSFC 

主　　题：neuron group (neural population) synchro-oscillation computational theory of vision response synchroniza-tion. 

摘      要：Studies on brain-vision have entered a new stage, after the stimulus-induced y synchronized oscillation of neuron group activities have been discovered in cat primary visual cortex. Naturally, how to understand the visual system became a very important methodological problem. From aspects such as information processing, nonlinear dynamics and neuronal network, some primary problems in vision studies have been deeply discussed, which are