Fig. 7.

Classification results. A: classification accuracies for each session across all feature sets using rLDA. Subjects JL and M are represented with closed and open symbols, respectively. The different symbol shapes represent the electrode block used for the session (circle, square, triangle represent blocks A, B, C for monkey JL and blocks D, E, F for monkey M). For each feature set, the horizontal line indicates the mean. B: average classification accuracies across the 12 sessions for each feature set (n = 14 bar groups) and each machine-learning algorithm (m = 3 bar shadings within a group). The error bars indicate the standard error across sessions within the feature set and machine-learning combination.