Fig. 5.

Pattern classification accuracy in NCM and HVC are altered by NE treatment in NCM. Representative confusion matrices depict the relative match between the presented stimulus on the vertical axis (“actual”) and the stimulus as predicted by the algorithm (“predicted”) on the horizontal axis. Data are means ± SE. **P < 0.01, ***P < 0.001. N.S., not significant. A: NE treatment in NCM increased count and timing accuracy in NCM. B: NE treatment in NCM increased timing accuracy in HVC and tended to increase HVC count accuracy. Dotted lines show chance level for classifier accuracy (i.e., randomized trial accuracy for 1 of 6 stimuli = 16.7%).