Fig. 4: Modification of sound tuning between wakefulness and anesthesia.
From: Awake perception is associated with dedicated neuronal assemblies in the cerebral cortex
a, Left: matrix of response profile correlation for 3,641 neurons in six awake mice. The neurons are clustered according to the similarity of their responses (metric: Pearson’s correlation coefficient between response probability profiles for the 50 sounds). Right: response probability (Resp. proba.) profiles for all recorded neurons organized with the clustering presented to the left. b, Same as a under anesthesia. c, Mean response profiles in the awake state (green) and under anesthesia (black) for the six sample clusters labeled in a. Green and black rectangles represent significant responses; error bands represent the s.d. around the mean. d, Colored rectangles denote sounds producing a significant response in neurons of 27 clusters presented in a. A multicomparison one-way ANOVA between the actual responses and a shuffled surrogate of the responses was used for the significance evaluation. e, Average sound prediction accuracy for the 50 sounds in the awake versus the anesthetized (Anesth.) state (n = 11 and 6, P = 0.0002, Wilcoxon’s rank-sum test, ***P < 0.001). Box-and-whisker plots show the red mark denoting the median, and the bottom and top edges of the box indicating the 25th and 75th percentiles, respectively. The whiskers extend to the extreme data points. f, Difference of sparseness of cluster responses to sounds (that is, kurtosis of response distribution) between awake and anesthetized states, as a function of the granularity number of the clustering algorithm. Positive values indicate higher sparseness in the awake state. All measures are significantly larger than zero (Wilcoxon’s signed-rank test; all P values are <0.0005; n is the number of clusters given on the x axis, mean values ± s.e.m.). g, Difference between sound responses in the awake state and under anesthesia (Distance aw. anes.) as a function of response sparseness for 27 clusters selected in a (P = 0.037, bootstrap test, no multiple comparison adjustment). a.u., arbitrary units; cc, correlation coefficient. All tests are two sided.
