Nonlinear dynamic model and neural coding of neuronal network with the variable coupling strength in the presence of external stimuli

作者：Jiao XF; Wang R^*

来源：Applied Physics Letters, 2005, 87(8): 083901.

DOI：10.1063/1.1957120

By accounting for the variation of coupling strength, we present a dynamic model of the neuronal oscillator network subject to external stimulus and noise, and introduce an average coupling-pair number density to describe the collective behavior of the neuronal oscillator network. We use the coupling-pair number density as a distributed coding pattern of neuronal network. The numerical simulations reveal that a weaker stimulus has little impact on the coding of neuronal network; whereas a stronger stimulus enhances the synchronized activity of neuronal network and the coupling between the oscillators. The numerical simulations also show that the combined stimuli with different modalities have a correlative impact on the neural coding, and the stronger stimulus dominates the neural coding.

• 出版日期2005-8-22
• 单位合肥工业大学; 东华大学