HMSNN: Hippocampus inspired Memory Spiking Neural Network

	HMSNN: Hippocampus inspired Memory Spiking Neural Network
	Zhang TL(张铁林)1 ; Ceng Y(曾毅)1 ; Zhao DC(赵东城)1 ; Wang LW(王立伟)2; Zhao YX(赵宇轩)1 ; Xu B(徐波)1; Tielin Zhang, Yi Zeng
	2016
会议名称	Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2016)
会议日期	October 9-12, 2016
会议地点	Budapest, Hungary
摘要	Human beings receive stimulations in primary sensory cortex and transfer them to higher brain regions automatically. What happened in this procedure? In this paper, we will focus on one of these regions (hippocampus) and try to simulate its working procedure by building an HMSNN (Hippocampus inspired Memory Spiking Neural Network) model. Dentate Gyrus (DG) and Cornu Ammonis area 3 (CA3) are the main regions of hippocampus and will be simulated by feed forward Spiking Neural Network (SNN) and recurrent Hopfield-like network respectively. From the structural perspective, the computational unit and the connectivity between neurons in HMSNN are all consistent with the anatomical-experimental results in hippocampus. From the functional perspective, the multi-scale memory formation, memory abstraction and memory retention will be shown in HMSNN model. In addition, the HMSNN is tested on MNIST handwritten digit dataset (with static images) and robot walking dataset (with dynamical images). The experimental result shows that: biological neural circuit inspired HMSNN shows comparable classification performance on both datasets compared to the state-of-art convolutional neural networks (CNNs), and shows significantly better performance compared to CNN when noises are introduced to the original images.
关键词	Hippocampus Spiking Neural Network Classification Task
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/22084
专题	脑图谱与类脑智能实验室_神经计算与脑机交互
通讯作者	Tielin Zhang, Yi Zeng
作者单位	1.Institute of Automation, Chinese Academy of Sciences, Beijing, China 2.School of Software and Microelectronics, Peking University, Beijing, China
第一作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Zhang TL,Ceng Y,Zhao DC,et al. HMSNN: Hippocampus inspired Memory Spiking Neural Network[C],2016.

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