Figure 3—figure supplement 1. | Temporal structure in associative retrieval
Temporal structure in associative retrieval
Figure 3—figure supplement 1.
University College London, United Kingdom
Download figureOpen in new tabFigure 3—figure supplement 1. Univariate classification using best sensor.
We tested the capacity of the most discriminative single sensor (selected separately for each subject) to predict the Si category, using linear support vector machines (SVM) with a single feature. The accuracy of this univariate classifier peaked at 47.4 ± 1.3% in cross-validation (red trace). (When using a nearest-mean univariate classifier rather than a univariate SVM, accuracy peaked at 45.6 ± 1.9%.) We constructed independent null distributions at each time bin by repeating this procedure 100 times with randomly shuffled category labels. At 200 ms post-stimulus, the median of the null distribution was 37.0% accuracy (greater than 1/3rd due to allowing the best sensor for each subject), while the 95th percentile of the null distribution was 38.6%. Blue line shown is multivariate SVM performance, from Figure 3A, for comparison.