Figure 3. Sharp waves, ripple oscillations, and replay are robust with respect to scaling the recurrent excitatory weights.

(A) Pyramidal cell (PC) raster plots on top and PC population rates at the bottom for E-E scaling factors 0.9 (A1), 0.95 (A2), and 1.05 (A3). (Scaling factor of 1.0 is equivalent to Figure 2A.) Dashed vertical black lines have the same meaning as in Figure 2A. (B) Analysis of selected indicators of network dynamics across different E-E weight scaling factors (0.8–1.2). Mean PC (blue) and parvalbumin-containing basket cell (PVBC) (pink) population rates are shown on top. The frequency of significant ripple oscillations (black) and the percentage of power in the ripple frequency range (red) in the estimated local field potential (LFP) is shown at the bottom. Errors bars indicate standard deviation and are derived from simulations with five different random seeds. See also Figure 3—figure supplement 1.

Figure 3—figure supplement 1. Spectral analysis of network dynamics across different pyramidal cell-pyramidal cell (PC-PC) weight scaling factors.

(A) Power spectral densities (PSDs) of PC (A1) and parvalbumin-containing basket cell (PVBC) (A2) population rates and estimated local field potential (LFP) (A3). Gray lines correspond to individual high-activity states (n = 14) shown in Figure 2A, while the thicker-colored lines are their averages. Ripple frequency range (150–220 Hz) is highlighted in red. Shaded red area below the curves indicates the power in the ripple range. (B) Spectral analysis of network dynamics across different E-E weight scaling factors (0.8–1.2). The frequency of any significant ripple oscillation (black) and the percentage of power in the ripple band (red) are shown for PC (B1) and PVBC (B2) population rates and estimated LFP (B3). (B3) is the same as the bottom panel of Figure 3B, and it is duplicated here only to show how similar the curves are for the rates and the estimated LFP.