Learning brain dynamics for decoding and predicting individual differences
Fig 2
Prediction of movie clip (15-way classification).
(A) Average clip prediction accuracy using the neural network architecture with gated recurrent units (GRUs) as a function of time (dark yellow). Accuracy increased sharply during the first 60 seconds, and stabilized around 90 seconds. Results using multinomial logistic regression (Log-Reg), a feed-forward architecture (FF; 1 layer, 103 units), temporal convolutional networks (TCN; kernel widths of 5 and 40) also also shown (see part B for labels). Error bars show the 95% confidence interval of the mean across test participants. (B) Summary of accuracy results after the 90-second transient period (see dashed line in part A).