Figure 8.

Decoding time courses. Each colored time course was generated by training the decoder at a particular bin, indicated by the vertical line of the same color, and then classifying serial order or duration at all bins. A, Example time courses showing the time evolution of serial-order representation. Decoding performance is highest near the training bin and falls off over time, indicating a dynamic representation. In this example, decoding was performed on trials with instructed durations of 1000 ms (∼50 ms bin width), using 30 observations at each time point (5 trials × 6 serial orders). Since there were six intertap intervals, chance decoding was 17%. The horizontal dashed line indicates the average decoding performance of the decoder on 100 bootstrap iterations of the analysis, in which serial orders were randomized. The horizontal dotted line indicates the 95th percentile of the bootstrap distribution. B, Example time courses showing dynamic representation of intertap interval duration. Decoding performance peaks at the training bin, and shows a cyclical variation, with similar peaks in other intertap intervals (25 observations at each time point: 5 trials × 5 durations). Since there were five durations, chance decoding was 20%. Horizontal dashed and dotted lines indicate the mean and 95th percentile of 100 bootstrap iterations performed by randomizing duration. C, Example times courses of duration decoding when data were collapsed across intervals, as in the serial-order analysis. Dashed and dotted lines as in B.