中文
Published date:2014-03-14    Provided by:数学系
  Personal Information
Title  
Position Professor
Tel:  +86-010-51688453
E-mail:  hjcao@bjtu.edu.cn
Present Address:   School of Science, BeijingJiaotongUniversity,No 3. Shangyuancun, Haidian District, Beijing, P.R.China, 100044
  Education
 Hongjun Cao received his MSc in 1998 and his PhD in 2001 in Mathematics from Yunnan University, 

Kunming, and the Institute of Mathematics of Chinese Academy of Sciences, Beijing, respectively. 

From 2001 to 2003, he was a Postdoctoral Fellow in parallel computing and parallel software at the 

Institute of Software of Chinese Academy of Sciences, Beijing. 

From 2005 to 2007, he was a Postdoctoral Fellow in neuroscience at the Department of Physics of 

Universidad of Rey Juan Carlos in Madrid, Spain. 
Since 2009, he has been a Professor at the Department of Mathematics, School of Sciences, Beijing 

Jiaotong University. From 2012 to 2013, he was a visiting scholar at the Department of Mathematics in 

the University of Maryland at College Park, USA.
  Research Interest

His research interests include bifurcation and chaos of nonlinear dynamical systems, cooperative 

behaviors of neuron networks. Recently, his research focuses on the parameter space and bursting 

patterns of a single neuron and neuron networks, along with their possible applications in 
neurologic diseases such as epilepsy and Parkinson diseases.

  Funding

1. 2008.1—2010.12. Research on cooperative behaviors of large-scale map-based neuron networks. This project was supported by Natural Science Foundation of China (NSFC) under Project No. 10771012.

2. 2012.1—2015.12. Analysis and application of hybrid discrete-time neuron networks.This project is supported by Natural Science Foundation of China (NSFC) under Project No. 11171017

  Major Publication

1. Caixia Wang, Hongjun Cao. Parameter space of the Rulkov chaotic neuron model, Commun Nonlinear Sci Numer Simulat. 19 (2014). 2060–2070.

2. Hongjun Cao, Yanguo Wu. Bursting types and stable domains of Rulkov neuron network with mean field coupling. International Journal of Bifurcation and Chaos, Vol. 23, No. 12 (2013) 1330041-1330061.

3. Meixiang Cai, Hongjun Cao. Bifurcations of periodic orbits in Duffing equation with periodic damping and external excitations. Nonlinear Dynamics (2012) . Volume 70. Issue 1, 453-462.

4. Hongjun Cao and Borja Ibarz. Hybrid Discrete-Time Neural Networks. Phil. Trans. R. Soc. A 368, (2010). 5071–5086.

5. Borja Ibarz, Hongjun Cao, and Miguel A. F. Sanjuán. Bursting regimes in map-based neuron models coupled through fast threshold modulation, Physical Review E. (2008). 77, 051918.

6. Hongjun Cao, Jesús M. Seoane, and Miguel A. F. Sanjuán, Symmetry-breaking analysis for the general Helmholtz-Duffing oscillator. Chaos, Solitons & Fractals. (2007). Vol. 34, Issue 2, 197-212.

7. Hongjun Cao. Primary resonant optimal control for homoclinic bifurcations in single-degree-of-freedom nonlinear oscillators. Chaos, Solitons & Fractals. (2005). Vol.12, Issue 10, 1887-1895.

8. Hongjun Cao, Guanrong Chen. Global and local control of homoclinic and heteroclinic bifurcations, Int. J. Bifurcation and Chaos. (2005) .Vol. 15, No. 8, 2411 – 2432.

9. Hongjun Cao, Xuebin Chi and Guanrong Chen, Suppressing or Inducing Chaos in a Model of Robot Arms and Mechanical Manipulators, Journal of Sound and Vibration, (2004). Vol.272, 705-724.

10. Hongjun Cao, Zhengrong Liu, and Zhujun Jing. Bifurcations set and distribution of limit cycles for a class of cubic Hamiltonian system with higher-order perturbed terms, Chaos, Solitons and Fractals, (2000). Vol. 14, 2293-2304.

  Awards & Honors

 

Previous:Peng Mingshu
Next:Xie Fang