神经工程与神经数据

郭大庆 教授

发布时间:2019-09-01

Research Interests

Computational neuroscience and brain-inspired intelligence, Neural data analysis, Neuromorphic engineering

FOR POTENTIAL STUDENTS AND POSTDOCS
We use both computational methods and techniques related to information inference to study how neuronal ensembles operate in our complicated brain. Established computational models in our lab may range from the single neuron level to local neural circuits and, sometimes, even to the whole-brain level, depending on different investigated scientific questions. To test our theory proposed in computational models, we also combine the electrophysiological experiments and record multichannel data (spike and local field potential) from the rodents, and these data will be further analyzed with advanced signal processing techniques. Graduate students, doctoral students and postdocs with some background in applied mathematics, computer science, electrical engineering or physics, interested in theoretical brain and cognitive sciences are welcome to join our lab. We will also consider those with biological or medical background given that they show proof of basic mathematical knowledge (i.e. linear algebra, calculus, particular ordinary differential equation). Recently, we start to shift our interest to brain-inspired intelligence and, in particular, our goal is to establish the new generation of spiking deep network as well as develop real brain-inspired algorithms for high efficient image and video processing and analysis. Please direct questions to: dqguo@uestc.edu.cn

Biography

I am currently a Full Professor at school of life science and technology, University of Electronic   Science and Technology of China (UESTC). I obtained a Master degree in Computer Science from the   University of Chinese Academy of Sciences, and a Ph.D. degree in Circuits and Systems from the University  of Electronic Science and Technology of China. I had several years of visiting research experiences in   Zhejiang University in the past, and received my postdoc training at the Computational Neuroscience Unit (Erik De Schutter’s Lab), Okinawa Institute of Science and Technology. My current research interests include computational neuroscience and brain-inspired intelligence, neural data analysis, and neuromorphic engineering.

 PROFESSIONAL POSITIONS

  • Full Professor (08/2020-present)

Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, UESTC

  • Associate Professor      (06/2013-07/2020, PhD supervisor since 2017)

Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, UESTC

  • Assistant Professor      (10/2012-06/2013)

Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, UESTC

  • Postdoctoral Research      Fellow (06/2011-09/2012)

Computational Neuroscience Unit, Okinawa Institute of Science and Technology (OIST), Japan. Supervisor: Prof. Erik De Schutter

EDUCATION

  • University of Electronic      Science and Technology of China (UESTC), Chengdu 07/2007- 06/2011
      Ph.D. in Circuits and systems
      Thesis: Research on Signal Transmission and Processing in Complex Neural      Systems

Advisor: Prof. Chunguang Li

  • Graduate School of the      Chinese Academy of Sciences (GSCAS), Peking 09/2004 – 07/2007

M.S. in Computer Science

Thesis: The Study and Improvement of Particle Swarm Optimization (Grade: excellent)

Advisor: Prof. Yingfan Li

  • University of Electronic      Science and Technology of China, Chengdu 09/2000 – 07/2004

B.S. both in Automation and in Computer Science

Selected Publications

[1] Wenpo Yao, Jiafei Dai, Matjaž Perc, Jun Wang, Dezhong Yao, Daqing Guo(*), Permutation-based Time Irreversibility in Epileptic Electroencephalograms, Nonlinear Dynamics, 100:907–919, 2020. (IF=4.604, JCR Q1)

[2] Yan Cui, Jie Liu, Yan Luo, Shan He, Yang Xia, Yangsong Zhang, Dezhong Yao, Daqing Guo(*), Aberrant Connectivity During Pilocarpine-Induced Status Epilepticus, International Journal of Neural Systems, 30(5):1950029, 2020. (IF=6.4, JCR Q1)

[3] Zhuda Yang, Daqing Guo(*), Yangsong Zhang, Shengdun Wu, Dezhong Yao, Visual Evoked Response Modulation Occurs In A Complementary Manner Under Dynamic Circuit Framework, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 27(10), 2019. (IF=3.478, JCR Q1)

[4] Daqing Guo(*), Dezhong Yao, Establishing the first theoretical basis of neuronal chimera states Comment on "Chimera states in neuronal networks: A review" by M. Perc et al, PHYSICS OF LIFE REVIEWS, 28: 122-124, 2019. (Editor invited comments, IF=11.045, JCR Q1)

[5] Daqing Guo(*), Matjaz Perc, Tiejun Liu, Dezhong Yao, Functional importance of noise in neuronal information processing, EPL, 124 (5), 50001, 2018. (Editor invited Perspective, IF=1.886, JCR Q2)

[6] Shengdun Wu(#),  Yangsong Zhang(#), Yan Cui, Heng Li, Jiakang Wang, Lijun Guo, Yang Xia, Dezhong Yao, Peng Xu, Daqing Guo(*), Heterogeneity of synaptic input connectivity regulates spike-based neuronal avalanches, Neural Networks, 110: 91~103, 2019. (IF=5.785, JCR Q1)

[7] Yangsong Zhang(#), Erwei Yin(#), Fali Li, Yu Zhang, Toshihisa Tanaka, Qibin Zhao, Yan Cui, Peng Xu, Dezhong Yao, Daqing Guo(*), Two-stage frequency recognition method based on correlated component analysis for SSVEP-based BCI, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 26(7): 1314~1323, 2018. (IF=3.478, JCR Q1)

[8] Daqing Guo (*), Qingyun Wang, Matjaz Perc, Complex synchronous behavior in interneuronal networks with delayed inhibitory and fast electrical synapses, Physical Review E, 85(6): 061905, 2012. (IF=2.358, 161 citations, JCR Q1)

[9] Daqing Guo, Chunguang Li(*), Self-sustained irregular activity in 2-D small-world networks of excitatory and inhibitory neurons, IEEE Transactions on Neural Networks, 21(6): 895~905, 2010. (IF=11.683, JCR Q1)

[10] Mingming Chen(#), Daqing Guo(#)(*), Tiebin Wang, Wei Jing, Yang Xia, Peng Xu, Cheng Luo, Pedro A. Valdes-Sosa, Dezhong Yao(*), Bidirectional Control of Absence Seizures by the Basal Ganglia: A Computational Evidence, PLoS Computational Biology, 10(3): e1003495, 2014. (IF=4.428, JCR Q1)

[11] Mingming Chen(#), Daqing Guo(#)(*), Min Li, Tao Ma, Shengdun Wu, Jingling Ma, Yan Cui, Yang Xia, Peng Xu, DezhongYao(*), Critical Roles of the Direct GABAergic Pallidocortical Pathway in Controlling Absence Seizures, PLoS Computational Biology, 11(10): e1004539, 2015. (IF=4.428, JCR Q1)

[12] Yangsong Zhang, Daqing Guo(*), Fali Li, Erwei Yin, Yu Zhang, Peiyang Li, Qibin Zhao, Toshihisa Tanaka, Dezhong Yao(*), Peng Xu(*), Correlated Component Analysis for Enhancing the Performance of SSVEP-Based Brain-Computer Interface, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 26(5): 948~956, 2018. (IF=3.478, JCR Q1)

[13] Daqing Guo, Chunguang Li(*), Stochastic and coherence resonance in feed-forward-loop neuronal network motifs, Physical Review E, 79(5): 051921, 2009. (IF=2.358, 81 citations, JCR Q1)

[14] Daqing Guo (*), Mingming Chen, Matjaz Perc, Shengdun Wu, Chuan Xia, Yangsong Zhang, Peng Xu, Yang Xia, Dezhong Yao, Firing regulation of fast-spiking interneurons by autaptic inhibition, EPL, 114(3): 30001, 2016. (IF=1.886, 68 citations, JCR Q2)

[15] Daqing Guo (*), Shengdun Wu, Mingming Chen, Matjaz Perc, Yangsong Zhang, Jingling Ma, Yan Cui, Peng Xu, Yang Xia, Dezhong Yao, Regulation of irregular neuronal firing by autaptic transmission, Scientific Reports, 6: 26096, 2016. (IF=4.011, 65 citations, JCR Q1)

[16] Daqing Guo (*), Matjaz Perc, Yangsong Zhang, Peng Xu, Dezhong Yao, Frequency-difference-dependent stochastic resonance in neural systems, Physical Review E, 96(2): 022415, 2017. (IF=2.358, 39 citations, JCR Q1)


For more publications, please see my CV or Google Scholar