Figure 1
From: Oscillatory hierarchy in a network of leaky integrate-and-fire neurons with short-term plasticity
Simulation in a network composed of 8000 pyramidal cells and 2000 interneurons. (A) Firing rates of pyramidal cells νE and interneurons νI in red and blue, respectively, smoothen within a window of 25 ms duration. The frequency of slow oscillations is approximately 0.2 Hz. (B1) Continuous wavelet transform of the firing rate νI using Morlet wavelets. The color scale represents the energy for each coefficient of the wavelet decomposition (arbitrary scale). (B2) Normalized cumulated energy for frequencies shown in (B1). (C) Firing rate after applying a band pass filter around frequencies corresponding to slow, δ, α, θ, and γ, respectively. (D1-D3) Cross-frequency coupling between two oscillatory modes f1 and f2 represented in polar coordinates. Radius and angle are the normalized average amplitude of f2 and phase of f1, respectively, obtained from the wavelet decomposition (method adapted from [1]). The blue line is the distribution calculated from the simulation of leaky integrate-and-fire neurons. The red line is the fitted von Mises distribution and red dot the phase of f1 corresponding to the maximal average amplitude of f2. (D1) f1 = δ, f2 = α. (D2) f1 = δ, f2 = θ. (D3) f1 = θ, f2 = γ.