Hippocampus Function Modeling With Neural Network

摘要：

The hippocampus and associative structures are the highest integrative centers in the brain and are known to play a critical role in memory function. To understand how the memory is formed, retrieved and how to reach conscious awareness requires the development of detailed models of hippocampus function and is helpful to study pathogenesis of some brain diseases relating with memory such as Alzheimer and Parkinson. In this paper, the detailed model of hippo- campus function is developed. This hippocampus functional model has a Hopfield-like neural network and is used 160 Izhikevich artificial neurons model as its spiking neurons. The simulation of this network under MATLAB platform shows that the network model can implement autoassociative and heteroassociative memory. The model is useful to understand two kinds of hippocampus memory functions.

关键词： hippocampus function neural network autoassociative memory heteroassociative memory

作者: ZHAO Wang-xiong QIAO Qing-li WANG Dan

作者单位: Department of Biomedical engineering, Tianjin Medical University,Tianjin, 300070, China Department of Biomedical engineering, Tianjin Medical University, Tianjin, 300070, China

会议类型: 国际会议

会议名称: 2009 IEEE International Symposium on IT in Medicine & Education( IEEE 教育与医药信息化国际会议)

会议地点: 济南

会议语种:英文

页码: 1128-1131

在线出版日期: 2009-08-14（万方平台首次上网日期，不代表论文的发表时间）