中文摘要：

作为视觉系统最关键的部分，视网膜处于图像信息提取的前端，准确的视网膜模型对于完整的视觉系统建模至关重要。借鉴神经团理论，从集成的观点曲发研究了视网膜建模问题，综合已有研究成果建立了较为完整的视网膜模型。建立的模型具有如下几方面特点：例在尺度上，从介观尺度上保证模型不同部分尺度的一致性；（2）在结构上，遵循视网膜的解剖结构，涵盖视网摸的主要部分，包括两个突触层和三个细胞层：（3）在神经元模型上，借鉴已有研究成果为不同神经无选择遁舍的神经元模型。针对建立的视网膜模型进行的分析表明：模型结构具有小世界网络特性，这与其他丈献的分析结果是一致的；在动力学特性上，模型针对持续而固定的刺激呈现出稳定的类似极限环状态。

英文摘要：

As key part of visual neural system, retina is the front part of image information processing and accurately modeling retina is vitally important to model whole visual neural system. Using the basic principal of neural ensemble, the problem of modeling retina was researched based on integrated idea and complete retinal model was constructed by integrating related research productions. There are some characteristics of constructed model （1） To scale, retina model is constructed based on neural ensemble to assure the homogeneity of mesoscopic scale of different parts in retina. （2） To structure, the model follows anatomy of retina and includes main parts of retina, such as outer and inner plexiform layers, outer and inner nuclear layers and ganglion cell layer （3） To neuron, suitable neuron models are selected to simulate action of different neurons according to related research productions. Analysis results to proposed retina model show that： （1） the architecture of retina model has the characteristics of small-world network, which is coincident with related analysis results; （2） to the characteristics of dynamics, the model shows steady state similar to limit cycle to sustained and changeless input.