Fig. 4: Temporal generalization (TG) methods showed distinct temporal coding, summarized by a stable/dynamic index.
From: Ensemble representations reveal distinct neural coding of visual working memory
First, the EEG signals at time 0 were used to train the SO decoder. This SO decoder was generalized to EEG signals over a whole period. This was repeated until the EEG signals at the final time was used to train the SO decoder. a SO–SO temporal generalization in Experiment 1 showed earlier dynamic coding and later stable coding, neither of which were persistent over time. b SO–VO temporal generalization results from Experiment 1. c SO–SO temporal generalization results from Experiment 2. d SO–VO temporal generalization results in Experiment 2. Top, the x- and y-axes show the time of test and training sets after stimulus onset, respectively. Colors represent the t-statistics. Black areas show significant modulation over time, determined by a one-sided Monte Carlo randomization test, p < 0.05. Bottom, a stable/dynamic index summarized their temporal coding. The x-axis shows the time after stimulus onset. The y-axis shows the magnitude of stable and dynamic coding. Green lines show the stable coding. Red dotted lines show the dynamic coding. Shaded areas represent ± 1 bootstrapped standard error. SO same orientation, VO varied orientation.
