FIGURE 13.
Classification accuracy for different methods. First, three methods were applied to the dFNC matrix and LSTM with the attention model applied to the dFNC time course. The last two methods use time decay (TD) for classification. We run the models on time decay information of all the subjects for 100 repeated iterations, and the accuracies are mean across the iterations. We train the model on 200 random samples in each iteration and cross‐validate them using the remaining 114 subjects