In this paper a mean field model of spatio-temporal electroencephalographic activity in the neocortex is used to computationally study the emergence of neocortical gamma oscillations as a result of neuronal response modulation. It is shown using a numerical bifurcation analysis that gamma oscillations emerge robustly in the solutions of the model and transition to beta oscillations through coordinated modulation of the responsiveness of inhibitory and excitatory neuronal populations. The spatio-temporal pattern of the propagation of these oscillations across the neocortex is illustrated by solving the equations of the model using a finite element software package. Thereby, it is shown that the gamma oscillations remain localized to the regions of neuronal modulation. Moreover, it is discussed that the inherent spatial averaging effect of commonly used electrocortical measurement techniques can significantly alter the amplitude and pattern of fast oscillations in neocortical recordings, and hence can potentially affect physiological interpretations of these recordings.

中文翻译：

---

神经元反应调节引起的短暂性新皮层伽马振荡。

在本文中，将新皮质中时空脑电活动的平均场模型用于计算研究由于神经元反应调节而引起的新皮质伽马振荡的出现。使用数值分叉分析显示，伽马振荡在模型的解中稳健地出现，并且通过抑制性和兴奋性神经元群体的响应性的协调调节而转变为β振荡。通过使用有限元软件包求解模型方程，可以说明这些振荡在新皮质上传播的时空模式。因此，显示出伽马振荡保持局限在神经元调节区域。此外，