Figure 7.

WEI drifts in time toward two preferred values at fixed anesthesia levels

(A) Time-resolved relationship between effective dimension of activation waves and their frequency of occurrence for all experiments and anesthesia levels (n = 24) each identified by a different color. Points of the trajectories are computed from time windows including 30 consecutives activation waves. Adjacent time windows have 10 waves of overlap. Inset: example experiment with log(MUA) displaying nonstationary frequency of wave occurrence.

(B) Time-resolved WEI computed in the same time window as in (A). Time values are the centers of the time windows. Lines are linear fits for each experiment and anesthesia level. Colored intervals highlight the first and the last 200 s of the experiments. Gray levels represent the average WEI value. Green: simulations.

(C) Distribution of WEI values for the first and the last 200 s of the experiments (highlighted in panel B). Colored shading, fit of the distribution with up to four Gaussian probability densities.

(D) Mean squared error of the linear fits shown in (B) as a function of the mean WEI per experiment and anesthesia levels (n = 24). Red line: linear regression (P<0.05). Green: simulations.