Dodla Ramana, Wilson Charles J
Department of Biology, University of Texas at San Antonio, San Antonio, Texas 78249, USA.
Phys Rev E Stat Nonlin Soft Matter Phys. 2013 Oct;88(4):042704. doi: 10.1103/PhysRevE.88.042704. Epub 2013 Oct 18.
Large scale simulations of electrically coupled neuronal oscillators often employ the phase coupled oscillator paradigm to understand and predict network behavior. We study the nature of the interaction between such coupled oscillators using weakly coupled oscillator theory. By employing piecewise linear approximations for phase response curves and voltage time courses and parametrizing their shapes, we compute the interaction function for all such possible shapes and express it in terms of discrete Fourier modes. We find that reasonably good approximation is achieved with four Fourier modes that comprise of both sine and cosine terms.
对电耦合神经元振荡器的大规模模拟通常采用相位耦合振荡器范式来理解和预测网络行为。我们使用弱耦合振荡器理论研究此类耦合振荡器之间相互作用的本质。通过对相位响应曲线和电压时间历程采用分段线性近似并对其形状进行参数化,我们计算了所有这些可能形状的相互作用函数,并以离散傅里叶模式表示它。我们发现,由正弦和余弦项组成的四个傅里叶模式能实现相当好的近似。