姓名：秦迎梅  职称：讲师  

一．研究方向：神经控制工程（数据分析、网络建模与控制）

二．个人荣誉：

Ø“131”创新型人才培养工程第二层次人选

Ø2015年全国大学生“西门子杯”工业自动化挑战赛（ITEM1）设计开发型赛项一等奖

三. 近期发表论文：

[1]      Ying-MeiQin,Cong Men, Jia Zhao, Chun-Xiao Han and Yan-QiuChe. Toward heterogeneity infeedforward network with synaptic delays based on FitzHugh-Nagumo model.InternationalJournal of Modern Physics B. 2018 , 32(1) : 1750274.  

[2]      Ying-MeiQin,Jiang Wang, Cong Men, Bin Deng, Xi-Le Wei, Hai-Tao Yu,Wai-Lok Chan. Stochasticresonance in feedforward acupuncture networks. Commun NonlinearSciNumerSimulat. 2014, 19(10) : 3660–3670. (SCI，二区)

[3]      YangLiu, Jiang Wang, LihuiCai, Yingyuan Chen, Yingmei Qin2*.Epilepticseizure detection from EEG signals with phase-amplitude cross-frequencycoupling and Support Vector Machine. International Journal of Modern Physics B.Vol. 2018 32 (8): 1850086

[4]      QiChen, Jiang Wang , Shuangming Yang, Yingmei Qin, Bin Deng, Xile Wei, Areal-time FPGA implementation of a biologically inspired central patterngenerator network.Neurocomputing , 2017 , 244 (C) :63-80.

[5]      JiaZhao, Bin Deng,Yingmei Qin, Cong Men, Jiang Wang, Xile Wei, JianbingSun. Weak electric fields detectability in a noisy neural network.CognNeurodyn.(2017) 11(1): 81-90.

[6]      HanRuixue, Wang Jiang, Miao Rui，DengBin, Qin Yingmei, Yu Haitao, Wei  Xile. Propagation of CollectiveTemporal Regularity in Noisy Hierarchical Networks.  IEEE Transactionson Neural Networks and Learning Systems, 2017, 28（1）:191~205 ; SCIE

[7]      FeiSu∗, BinDeng∗,Hongji Li∗,Shuangming Yang∗,Yingmei Qin†, Jiang Wang∗ and Chen Liu∗,‡FPGA-basedhardware simulation of nonlinear autoregressive Volterra model to reconstructthe single neuron spike pattern. Vol. 31 (2017) 1750238.

[8]      RuixueHan, Jiang Wang, Haitao Yu, Bin Deng, Xilei Wei, Yingmei Qin, and HaixuWang. Intrinsic excitability state of local neuronal population modulatessignal propagation in feed-forward neural networks.Chaos 25, 043108(2015).

[9]      JiangWang*, Ruixue Han*, Xilei Wei*, Yingmei Qin†, Haitao Yu*,Bin Deng*.Weaksignal detection and propagation in diluted feed forward neural network withrecurrent excitation and inhibition. Int. J. Mod. Phys. B 30, 1550253(2016)

[10]  Ying mei Qin,Chun-Xiao Han, YanqiuChe, Huiyan Li. Efficient Epileptic Seizure DetectionBased on Electroencephalography Signal. Chinese Control Conference, 2017:5324-5327.第一标注

[11]  Yingmei Qin,Bei Liu, Xiaobin Wang,Chunxiao Han &YanqiuChe. Elimination of chaos in a light-emitting diodesystem with optoelectronic feedback. Material Science and EnvironmentalEngineering(MSEE2015), 2016: 609-612.

[12]  Ying-Mei Qin,Chun-Xiao Han, Bei Liu, Yan-QiuChe. Minimal Neuronal Model for the TransmissionPath of Acupuncture Signal. 2015 International Conference on Computer Scienceand Intelligent Communication (CSIC 2015).

[13]  YanqiuChe, Ying mei Qin*,JiaZhao, Chun-Xiao HanFiring patterns in delayed feedforward networks with STDPrules. Chinese Control Conference , 2017 :2006-2010.

[14]  Zhenxi Song,Jiang Wang, LihuiCai, Bin Deng and Yingmei Qin. Epileptic Seizure Detection ofElectroencephalogram Based on Weighted-Permutation Entropy. 2016 12th WorldCongress on Intelligent Control and Automation (WCICA),PP:2819-2823

[15]  Bin Deng, HongjiLi, Fei Su, Jiang Wang, Chen Liu, and Yingmei Qin. A Nonlinear Auto-RegressiveVolterra Model Based on FPGA. 2016 12th World Congress on Intelligent Controland Automation (WCICA),PP: 962-966.

[16]  Chen Jin, JiangWang, Bin Deng, Yingmei Qin and ChunxiaoHan.The Effect of Inhibitory Feedbackon Temporal Regularity in Neural Networks. A Nonlinear Auto-Regressive VolterraModel Based on FPGA. 2016 12th World Congress on Intelligent Control andAutomation (WCICA),PP: 945-949.

四．联系方式（电子邮件，联系电话）：

电子邮箱：eeymqin@tju.edu.cn

联系电话：+86 137-0206-0839