Figure 7: Increase theta entrainment of spiking is observed in G1.

PCA was performed on the autocorrelations from the spike trains of each neuron and the amount of variance captured by each PC is shown (A). The first three PCs are shown in (B), the black and gray traces on top show the mean autocorrelation pattern captured by the positive and negative coefficients, respectively. The bottom panels show the spectrum of the mean autocorrelation for positive and negative loaders for each PC. Neurons that oscillate in the theta band were separated via negative coefficients on PC3 (B3). The distribution of coefficients for PC3 separated for G1 and G2. The three modes in the distribution made it possible to quantify the negative loaders on PC3 as theta entrained and compare between G1 and G2 (C). *** Kolmogorov-Smirnov test, p<0.0001.