Figure 7

Matching analysis between model predictions and actual brain mass for all the major type of vertebrates. A. The model (based on Eq. (7)) predicted brain mass versus real brain mass for all the major types of vertebrates. The correlation coefficient CC and mean squared error MSE between model prediction and real brain mass are listed here: CC = 0.89 and MSE = 0.1 for cold polar fishes; CC = 0.961 and MSE = 0.05 for temperate fishes; CC = 0.981 and MSE = 0.068 for tropical fishes; CC = 0.958 and MSE = 0.052 for reptiles; CC = 0.943 and MSE = 0.028 for amphibians; CC = 0.803 and MSE = 0.51 for dinosaurs; CC = 0.97 and MSE = 0.0162 for mesozoic mammals; CC = 0.965 and MSE = 0.089 for archaic mammals; CC = 0.952 and MSE = 0.021 for insectivores; CC = 0.987 and MSE = 0.029 for mammals; CC = 0.966 and MSE = 0.007 for birds; CC = 0.956 and MSE = 0.23 for primates; CC = 0.97 and MSE = 0.544 for dolphins. B. The ratios defined as (Model predicted brain mass)/(Actual brain mass) for the 13 animal species.