Abstract: Highlights•A novel transformer architecture to efficiently and sensitively analyze fMRI data.•Fused-window attention to hierarchically capture local-to-global representations.•Cross-window regularization to align representations across fMRI time series.•An explanatory method to interpret brain regions that contribute to model decisions.•State-of-the-art performance in detection tasks on resting-state and task-based fMRI.
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