文献类型：期刊文献

英文题名：Synchronization in neuronal population with the variable coupling strength in the presence of external stimulus

作者：Jiao, Xianfa[1,2]; Wang, Rubin[3,4]

机构：[1]E China Univ Sci & Technol, Inst Brain Informat Proc & Cognit Neurodynam, Sch Informat Sci & Engn, Shanghai 200237, Peoples R China;[2]Donghua Univ, Sch Sci, Shanghai 200051, Peoples R China;[3]Hefei Univ Technol, Sch Sci, Hefei 230009, Peoples R China;[4]Donghua Univ, Coll Informat Sci & Engn, Shanghai 200051, Peoples R China

年份：2006

卷号：88

期号：20

外文期刊名：APPLIED PHYSICS LETTERS

收录：;EI(收录号：2006229910984);WOS:【SCI-EXPANDED(收录号:WOS:000237682100099)】；

语种：英文

外文关键词：Computer simulation - Mathematical models - Numerical methods - Spurious signal noise - Synchronization

摘要：In this letter, taking into account the variation of coupling strength, we present a dynamical model of neuronal oscillator population subject to external stimulus and noise, and introduce an average number density of coupling pairs to describe the synchronization behavior of the neuronal oscillator population. The numerical simulations indicate that external stimulus enhances the synchronized activity in neuronal population and the coupling between the neuronal oscillators. With a stronger stimulus, the synchronization in neuronal population emerges rapidly, and the duration of the synchronization is longer. The numerical simulations also show that when the combined stimuli of different modalities are performed simultaneously, there is a reciprocal or competitive interaction between the different stimulus modalities.