Fig. 5.

Basic stimulus responses for an integrated dataset. a Normalized response matrix (combining the matrices shown in Fig. 3a). b Mean response per stimulus across all neurons in the combined dataset. c Percent of significant responses per stimulus. d Normalized responses to each of the stimuli. e Correlation distances between stimulus pairs in the combined dataset. f Hierarchical clustering tree of population responses to each of the stimuli, based on the correlation distance. g Two-dimensional representation of distances using classical multidimensional scaling of the response distance. In panels b and d, horizontal lines represent significant differences among stimulus pairs using a one-way non-parametric ANOVA (Kruskal-Wallis test). Broken lines indicate p values below 0.05, while solid lines indicate values below 0.01. See Additional File 2 for specific p values for this and all other pairwise comparisons. Units in g are arbitrary, but the scaling is equal for both axes