%0 Journal Article
%T A 3RD-ORDER NEURAL NETWORK MODEL SIMULATING SYNAPSE ULTRAMICROSTRUCTURE<br>一个仿真突触超微结构的三阶神经网络模型
%A Liang Mingli Wang Aming Liu Yiping
%A <br>梁明理
%A 王阿明
%A 刘艺苹
%J 生物物理学报
%D 1993
%I 
%X The variety of the types of synapses in neural systems has strong relation with the complexity of its function. Considering this. We used a 3rd-order neural network model to simulate the function of the complex dendrospinous in synapse ultramicrostructure . The theory of the model was given and analysed. The results of computer simulation of the system with 40 units showed that the capacity of the network was approximately 680 patterns.Analysis and computer simulation of attraction basins were carried out. Compared calculations of computer simulation between our model and Hopfield's model under traditional Hebb's law showed that the former was much faster in retrieval rate.
%K Neural network Model Dendrospinous synapse Storage capacity Basins of attraction Retrieval rate<br>神经网络
%K 模型
%K 连续性突触
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=90BA3D13E7F3BC869AC96FB3DA594E3FE34FBF7B8BC0E591&jid=E0C9D9BBED813D6674AC13E942EAC86D&aid=F52B9B1FD5D63274D825CECA1D6F9007&yid=D418FDC97F7C2EBA&vid=9CF7A0430CBB2DFD&iid=CA4FD0336C81A37A&sid=7C72DBC13F2D71EC&eid=58F693790F887B3B&journal_id=1000-6737&journal_name=生物物理学报&referenced_num=0&reference_num=3