Confusion matrices for alpha-based (top row) and ERP-based (bottom row) decoding for Experiment 1 (left column), Experiment 2 location (middle column),

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Confusion matrices for alpha-based (top row) and ERP-based (bottom row) decoding for Experiment 1 (left column), Experiment 2 location (middle column), and Experiment 2 orientation (right column). Confusion matrices for alpha-based (top row) and ERP-based (bottom row) decoding for Experiment 1 (left column), Experiment 2 location (middle column), and Experiment 2 orientation (right column). Each cell shows the probability of a given classification response (x-axis) for given a stimulus value (y-axis), averaged over the entire delay interval and across observers. The white diagonal lines indicate classification responses that are 180° from the stimulus value. Note that the values in the top left and bottom right corners of each matrix represent stimulus–response combinations that are actually adjacent to the stimulus–response combinations in the bottom left and top right corners (because these matrices provide a linear representation of a circular stimulus space). Gi-Yeul Bae, and Steven J. Luck J. Neurosci. 2018;38:409-422 ©2018 by Society for Neuroscience