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. Author manuscript; available in PMC: 2023 Jan 17.
Published in final edited form as: Neuroimage. 2022 Nov 7;264:119737. doi: 10.1016/j.neuroimage.2022.119737

Fig. 12.

Fig. 12.

Temporal Attention weights for one of the test folds (16 subjects) of FBIRN. Attention weights are computed using GTA module. X and y axis represent time-points and subject number respectively. We show that for each subject, the attention weights remain stable across multiple randomly-seeded trials (10). The values of the 10 trials are used to create the confidence interval for each subject. The consistency is greatly increased with an increase in number of training subjects. Note: For each subject we added the subject number to the attention weights to separate the weights, as for each subject the weights have a range of 0 – 1. Dark and light colors represent SZ and HC subjects respectively.