个人简介
基本信息：
李秀敏，女，1982年生，山西大同人。控制理论与控制工程系，副教授。2005年7月毕业于太原理工大学，获学士学位；2007年7月毕业于天津大学，获硕士学位；2010年10月毕业于香港理工大学电子与资讯工程系，获博士学位(论文题目“Cortical oscillations and synaptic plasticity — from a single neuron to neural networks”)。2008年9月至2008年12月学术访问于剑桥大学生理学发展与神经科学系；2010年10月至2011年10月，为香港理工大学研究助理。发表论文10余篇，主要成果发表在 Physical Review E、Chaos、New Journal of Physics、 IEEE Trans. on Neural Networks 等高水平期刊上。
讲授课程：智能控制基础，控制系统计算机辅助设计
科研项目：国家自然科学基金，编号：61304165，“混合学习机制下神经网络的自组织演化与复杂分层结构的形成”，2014.01-2016.12
研究领域
研究方向：
脉冲神经网络及其在智能计算中的应用。主要对具有神经生理特性的脉冲神经网络进行建模，通过借助交叉学科的方法，如脑科学、复杂网络理论以及人工智能来研究脉冲神经网络高效信号传导能力的内在机制，并进一步将其应用于智能计算的研究中。
近期论文
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学术论文：
1. X. Li. L. Zhong, F. Xue, A. Zhang. A Priori Data-Driven Multi-Clustered Reservoir Generation Algorithm for Echo State Network. PLOS ONE, 10(4): e0120750, 2015.
2. X. Li. Signal integration on the dendrites of a pyramidal neuron model. Cognitive Neurodynamics, 8 (1), 81-85, 2014.
3. X. Li, Kenji Morita, Hugh Robinson, Michael Small. Control of layer 5 pyramidal cell spiking by oscillatory inhibition in the distal apical dendrites: a computational modeling study. Journal of neurophysiology, 109 (11), 2739-2756, 2013.
4. F. Xue, Z. Hou, and X. Li. Computational capability of liquid state machines with spike-timing-dependent plasticity. Neurocomputing, 122: 324-329, 2013.
5. X. Li and Michael Small. “Neuronal avalanches of a self-organized neural network with active-neuron-dominant structure”. Chaos, 22 (2): 023104, 2012.
6. X. Li, K. Morita, H. P. C. Robinson and M. Small, “Impact of gamma-oscillatory inhibition on the signal transmission of a cortical pyramidal neuron”.Cognitive Neurodynamics 5 (2011) Issue 3 Page 241-251.
7. X. Li and M. Small, “Enhancement of signal sensitivity in a heterogeneous neural network refined from synaptic plasticity,” New Journal of Physics 12 (2010) 083045.
8. X. Li, J. Zhang and M. Small, “Self-organization of a neural network with heterogeneous neurons enhances coherence and stochastic resonance,”Chaos 19 (2009) 013126.
9. J. Zhou, W. Yu, X. Li, M. Small and J. Lu, “Identifying the topology of a coupled FitzHugh- Nagumo neurobiological network via a pinning mechanism,” IEEE Transactions on Neural Networks 20 (2009).
10. X. Li, J. Wang, W. Hu, “Effects of chemical synapses on the enhancement of signal propagation in coupled neurons near the canard regime”,Physical Review E 76 (2007) 041902.
11. W. Hu, G. Xiao, and X. Li, “An analytical method for PID controller tuning with specified gain and phase margins for integral plus time delay processes”, ISA Transactions 50: 268–276 (2011).
12. W. Hu, J. Wang, X. Li, “An approach of partial control design for system control and synchronization”, Chaos, Solitons & Fractals 39: 1410–1417 (2009).
学术会议：
1. X. Li, K. Morita, H. P. C. Robinson and M. Small, “Frequency preference of a layer V pyramidal neuron in response to oscillatory inhibition at the apical tuft dendrites,” (abstract) The 40th Annual Meeting of the Society for Neuroscience (SfN), (San Diego, USA, 13-17 November 2010).
2. X. Li, K. Morita, H. P. C. Robinson and M. Small, “Gamma-frequency synaptic input enhances gain modulation of the layer V pyramidal neuron model,” The 2nd International Conference on Cognitive Neurodynamics (ICCN), (Hangzhou, China, 15-19 November 2009).
3. X. Li, J. Zhang and M. Small, “Effect of heterogeneity for the self-organization of a neural network,”International Symposium on Nonlinear Theory and its Applications (NOLTA), (Budapest, Hungary, 7-10 September 2008).
4. J. Wang, X. Li, “Comparisons of chemical synapses and gap junctions in the stochastic dynamics of coupled neurons”, 2007 international conference on Life System Modeling and Simulation (LSMS), Lecture Notes in Computer Science, 254–263, 2007 (Shanghai, China, 14-17 September 2007).
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