Fig. 9.

Oscillation-based classification results from experiment 3. A: results of the classification analyses based on the scalp distribution of α (8–12 Hz) power. The top left panel shows the classification accuracy for target item using the scalp distribution of the contralateral (red) and ipsilateral (magenta) α power. The bottom left panel shows the classification accuracy for distractor item based on contralateral (blue) and ipsilateral (cyan) α power distribution. Note that the laterality was defined with respect to the item of interest. The solid black line indicates the chance level of classification. The line graph on the right shows the distribution of response offsets produced by the α-power-based decoders. The red (contralateral) and magenta (ipsilateral) lines show the result for target decoding, and the blue (contralateral) and cyan (ipsilateral) lines show that for distractor decoding. Error bars represent SEs. B: results of the classification analyses based on the scalp distribution of θ (4–7 Hz) power. The top left panel shows the classification accuracy for target item using the scalp distribution of the contralateral (red) and ipsilateral (magenta) θ power. The bottom left panel shows the classification accuracy for distractor item based on contralateral (blue) and ipsilateral (cyan) θ power distribution. Note that the laterality was defined with respect to the item of interest. The solid black line indicates the chance level of classification. The line graph on the right shows the distribution of response offsets produced by the θ-power-based decoders. The red (contralateral) and magenta (ipsilateral) lines show the result for target decoding, and the blue (contralateral) and cyan (ipsilateral) lines show that for distractor decoding. Error bars represent SEs.