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The effects of hunting behavior on scale invariance and functional space organization. Sampled covariance eigenspectra of the data from fish 1 calculated from control (A) and hunting removed (B) data . Ctrl: We randomly remove the same number of non-hunting frames. This process is repeated 10 times, and the mean ± SD of the CI is shown in the plot. Hunting removed: The time frames corresponding to the eye-converged intervals (putative hunting state) are removed when calculating the covariance (Appendix 1). The CI for the hunting-removed data appears to be statistically smaller than in the control case (p-value = 1.5 × 10−9). (C) Functional space organization of control data. The neurons are clustered using the Gaussian Mixture Models (GMMs) and their cluster memberships are shown by the color. The color bar represents the proportion of neurons that belong to each cluster. (D) Similar to (C) but the functional coordinates are inferred from the hunting-removed data. The color code of each neuron is the same as that of the control data (C), which allows for a comparison of the changes to the clusters under the hunting-removed condition. See also the Movie S1. (E) Fold change in size/area (Appendix 1) for each cluster (top; the gray dashed line represents a fold change of 1, i.e., no change in size) and the anatomical distribution of the most dispersed cluster (bottom). |