文献类型：期刊文献

英文题名：A MODEL OF HIPPOCAMPAL MEMORY BASED ON AN ADAPTIVE LEARNING RULE OF SYNAPSES

作者：Yan, Chuankui[1,2];Wang, Rubin[2];Pan, Xiaochuan[2]

机构：[1]Hang Zhou Normal Univ, Dept Math, Sch Sci, Hangzhou 310036, Zhejiang, Peoples R China;[2]E China Univ Sci & Technol, Sch Sci, Dept Math, Inst Cognit Neurodynam,Sch Informat Sci & Engn, Shanghai 200237, Peoples R China

年份：2013

卷号：21

期号：3

外文期刊名：JOURNAL OF BIOLOGICAL SYSTEMS

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000324744900001)】；

基金：We would like to thank the anonymous reviewer. Thanks a lot for editor's helpful comment that improved the presentation of the paper. This work was supported by the Key Program of National Natural Science Foundation of China (No. 11232005) and the Foundation of Zhejiang Educational Committee (No. Y201224431).

语种：英文

外文关键词：Hippocampus; Adaptive Learning; SNR; Stochastic Resonance; Memory Pattern; Adaptive Learning

摘要：We constructed a neural network of the hippocampus and proposed an adaptive learning rule of synapses to simulate the storing and retrieving processes of memory in the hippocampus by a mechanism of resonance. The hippocampus network consists of CA1, CA3 and DG, in particular, CA1 is a storage of memory, which receives inputs from both EC through perforant path (PP) and CA3 through Schaffer collaterals (SC). The stimulated results showed that the memory trace was unable to be encoded in CA1 when only a single subthreshold signal from EC or CA3 was inputted, of which the main reason might be lack of the resonance of the two signals. We calculated signal-to-noise ratio (SNR) of the network, and found it reached a peak value at appropriate SC connection strength, indicating that a typical stochastic resonance phenomenon appeared in PP signal detection. The inputs from EC and CA3 were able to enhance the memory representation in CA1, although still incomplete. We used a learning rule to modify synaptic weights by which the network could learn an external pattern. The hippocampus network tended to be stable after sufficient evolution. Some CA1 neurons show synchronized firings which are used to represent memory and are clearer than observed memory traces before learning. The model and results provide a good guidance to our understanding of the mechanism of the hippocampus memory.