Figure 1 | Scientific Reports

Figure 1

From: Shared neural codes of recognition memory

Figure 1

Analysis pipeline for time-resolved cross-classification. (A) EEG data (trials × times × channels) in each training dataset is aggregated across participants. (B) Linear discriminant analysis (LDA) classifiers are trained on data at each time point. (C) The fitted classifiers are then used to predict category membership in the test dataset, for each participant separately. (D) The classifier performance metrics are then aggregated to generate the sample-level cross-classification time course for each test dataset.

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