Fig. 2.

Classification analysis outline. Full neural data from all trials were aligned to target onset as time 0. Within 10 iterations of a cross-validation loop, trials were separated into training and test trials. Training trials were used to generate the parameters for dimensionality reduction and to train the model relating the reduced feature set to the target locations. Trained parameters were used to reduce the test data set and to predict test target locations. Predicted test target locations were compared with true target locations to determine classification accuracy. LDA, linear discriminant analysis; rLDA, regularized LDA; SVM, support vector machines.