文献类型：会议论文

英文题名：The segmentation and associative memory using Hindmarsh-Rose neuronal network

作者：Peng, Jianhua[1];Yu, Hongjie[2]

机构：[1]East China Univ Sci & Technol, Sch Informat Sci & Engn, Shanghai 200237, Peoples R China;[2]Shanghai Jiao Tong Univ, Dept Mech, Shanghai 200240, Peoples R China

会议论文集：3rd International Conference on Intelligent Computing

会议日期：AUG 21-24, 2007

会议地点：Qingdao, PEOPLES R CHINA

语种：英文

外文关键词：Hindmarsh-Rose; neuron; associative memory; Nchronization; segmentation

摘要：We present in this paper some results on the temporal segmentation and retrieval of stored memories or patterns using neural networks composed of the widely used model neurons in the neuroscience society, the bursting Hindmarsh-Rose neurons. For an input pattern which is an overlapped superposition of several stored patterns, it is shown that the proposed neuronal network model is capable of segmenting out each pattern one after another as synchronous firings of a subgroup of neurons, and if a corrupted input pattern is presented, the network is shown to be able to retrieve the perfect one, that is it has the function of associative memory. And we also notice some phenomena in our simulation that still have not been reported elsewhere in our knowledge.