1 Supplementary Discussion 1.1 Overview
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@MISC{_1supplementary,
author = {},
title = {1 Supplementary Discussion 1.1 Overview},
year = {}
}
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Abstract
(1.2), for both target and distractor stimuli. We then present feature importance maps illustrating which features played the largest role in detecting these categories (1.2.2). After that, we present the results of our quartile analysis in greater detail (1.3): We report pair-wise comparison statistics showing that the reaction-time priming effect varied in size as a function of distractor-processing quartile (1.3.1). In the following section, we present pair-wise comparison statistics measuring how RTs varied across quartiles for the control and ignored-repetition conditions separately (1.3.2). We also present statistics showing that the reaction-time priming effect did not vary significantly as a function of target-processing quartile (1.3.3). Next, we report results from a variant of the analysis where we included error trials (1.3.4) – the classifier analyses in the main paper excluded these trials. Finally, we report priming effects as a function of distractor-processing quartile separately for each of the four categories of images used as stimuli (1.3.5). For all of our statistical comparisons, we used two-tailed paired-samples t-tests to compute the reliability of effects across subjects. 1.2 Detailed classification results 1.2.1 Classifier sensitivity In the main body of the paper, we described the cross-validation method that we used to evaluate the classifiers ’ ability to detect the presence of each image category when presented as the target stimulus. Figure 4 in the main paper showed the mean level of cross-validation performance for target stimuli across subjects for each time bin, combining results from all four categories. Supplementary Figure 1 re-plots these results, this time splitting the results by target stimulus
Keyphrases
supplementary discussion target stimulus pair-wise comparison statistic distractor-processing quartile reaction-time priming effect main paper quartile analysis two-tailed paired-samples t-tests mean level statistical comparison image category main body error trial distractor stimulus ignored-repetition condition supplementary figure classifier sensitivity cross-validation method cross-validation performance classifier ability present statistic detailed classification result time bin target-processing quartile following section present feature importance map
