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
Studies on brain-vision have entered a new stage, after the stimulus-induced γ 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 related with the response synchronization of neuron groups to external objects. The nerve representation (NR) is a distinct feature of the visual system that acts as the intelligent information processing system. NR is also the kernel concept of the computational theory of vision, and the wavelet transform is the basis of multiscale representation. Some important problems should be paid attention to in the study of neuronal spatio-temporal coding and brain-visual information processing. The response synchronization might be a significant approach for integration of 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
