焦贤发：教授 , 博士
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焦贤发：教授, 博士
E-mail: Xfjiao@
Tel.: 0086-0551-*******
邮寄地址：中国合肥合肥工业大学数学系邮编 230009
研究团队:
华东理工大学脑信息处理与认知神经动力学研究所
学历:
1982-1986, 学士，安徽师范大学
1986-1988, 硕士, 东华大学
2002-2008, 博士, 东华大学
研究方向:
1．神经模型与神经计算
2．神经动力学
3．非线性随机动力系统
已发表论文:
1. X. Jiao, R. Wang. Synchronous Firing Patterns of Neuronal Population with
Excitatory and Inhibitory Connections. International Journal of Non-Linear Mechanics , 2008, DOI: 10.1016/j.ijnonlinmec.2008.11.020.
2．X. Jiao, R. Wang. Synchronous firing and its control in neuronal population with time delay, Advances in cognitive neurodynamics, Proceedings of the international conference on cognitive neurodynamics-2007,213-217
3. X. Jiao and R. Wang, Firing patterns and synchronization of neuronal population with excitatory and inhibitory connection, Third international conference on natural
computation, Haikou, Hainan, China, 2007, V ol.(1): 459- 462.(EI,ISTP)
4. R.Wang, X. Jiao. Stochastic model and neural coding of large-scale neuronal population with variable coupling strength, Neurocomputing, 2006, 69: 778-78
5.
5. X. Jiao., R. Wang. Synchronization in neuronal population with the variable coupling strength in the presence of external stimulus. Appl. Phys. Lett., 2006, 88：203901.
6．R．Wang, X. Jiao, J. Peng. Phase coding on the large-scaled neuronal
population subjected to stimulation. Lecture Notes in Computer Science, 2006, 4221:228-236.
7. R. Wang, Z. Zhang, X. Jiao. Mechanism on brain information processing: Energy coding. Appl. Phys. Lett., 2006, 89：123903.
8. X.Jiao and R.Wang, General model of neuronal population activity. In Proceedings
of the 2006 IEEE International Symposium on Intelligent Control, Munich, Germany,
2006, 1636-1638.
9. X. Jiao., R. Wang. Nonlinear dynamic model and neural coding of neuronal network with the variable coupling strength in the presence of external stimuli, Appl. Phys. Lett.,2005, 87:083901.
10. R. Wang, X. Jiao, Y. Duan and W.Yu, Some advance .in .nonlinear .stochastic evolution models for phase resetting dynamics on populations of neuronal oscillators, International Journal of Nonlinear Sciences and Numerical Simulation, 2003, 4: 435-446.
11.焦贤发, 王如彬：刺激下可变耦合神经振子群活动的非线性随机演化模型，控制与决
策, 2005，20(8): 897-900.
12. 焦贤发, 王如彬：具有可变耦合强度的大规模神经元群活动的演化模型，现代数学和力学（MMM—Ⅸ），上海大学出版社，2004，388-341。