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

• Published in: Applied physics letters Vol. 87; no. 8
• Main Authors: Jiao, Xianfa, Wang, Rubin
• Format: Journal Article
• Language: English
• Published: 22.08.2005
• ISSN: 0003-6951; 1077-3118
• 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.