Frequency-filtered attention for cross-species fMRI time series prediction under small-sample learning
A general fMRI sequence prediction model, the Frequency-Filtered Attention Transformer (FFAformer), which models low-frequency variations in the frequency domain to capture long-range dependencies and incorporates FC consistency constraints to preserve brain network structure.