%0 Journal Article
%T Short-term Memory (STM) NETWORK MODEL WITH COMPETITIVE POINTER<br>具有竞争指针的短时记忆神经网络模型
%A Huang Bingxian
%A Li Zhong
%A <br>黄秉宪
%A 李忠
%J 生物物理学报
%D 1996
%I 
%X To the STM neural network model which we previously proposed3], synaptic competition mechanism was introduced, and a new STM(short - term memory) neural network model was developed. This new model also consists of two neural networks; one is the network of representation of information content that share with long - term memory, the other is the pointer neuronal loop. Because of competition of synaptic weighs between neurons in representation area and neurons of pointer loop, the forgetting of STM caused by interference can be appeared in the model. Computer simulations of the model were performed in mimicking psychological experiments of the serial position effect of free recall and the chunking Chinese words. The results show that the behaviors of the model quantitatively fit well these psychological experiments. It verifies that the model described here is more suitable for modeling of STM.
%K STM Neural network Synaptic competition Serial position curve Chunking of Chinese words<br>短时记忆，神经网络，突触竞争，序列位置曲线，汉字组块
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=90BA3D13E7F3BC869AC96FB3DA594E3FE34FBF7B8BC0E591&jid=E0C9D9BBED813D6674AC13E942EAC86D&aid=BDBED1B2AB710911C094A4B4C110BCB4&yid=8A15F8B0AA0E5323&vid=59906B3B2830C2C5&iid=E158A972A605785F&sid=70E3F4DEB0172F14&eid=C7B13290323C226E&journal_id=1000-6737&journal_name=生物物理学报&referenced_num=1&reference_num=5