摘要
视觉运动信息的感知过程,包括从局域运动检测到对模式整体运动的感知过程.我们以蝇视觉系统的图形-背景相对运动分辨的神经回路网络为基本框架,采用初级运动检测器的六角形阵列作为输入层,构造了一种感知视觉运动信息的简化脑模型,模拟了运动信息应该神经计算模型各个层次上的处理.该模型对差分行为实验结果作出了正确预测.本文并对空间生理整合的神经机制作了讨论.
The perception of the visual motion information includes the processing from local motion detection to the perception of global pattern movement. Using the neural circuit - network of the figure-ground discrimination of the fly's visual system as the basic unit, and the hexagonal arrays of elementary movement detectors as the input layer, we build a simple brain model for the visual motion information perception. The motion information processing on each layer of this neural computational model is simulated by computer. This model is able to predict correctly the results of differential behavioural experiments. Finally, the neural principles underlying the spatial physiological integration are discussed.
出处
《生物物理学报》
CAS
CSCD
北大核心
1993年第1期100-107,共8页
Acta Biophysica Sinica
基金
国家自然科学基金
关键词
局域运动检测
脑模型
感知视觉
Local motion dectection Spatial physiological integration Simple brain model