Saliency maps derived from input gradients are popular for visualizing and controlling model responses [1,2, 3]. In RF neuromodulation or analogous control settings, however, raw gradients often exhibit speckled,high-frequency artifacts that are hard to actuate. We propose a structured-gradient formulation that imposesspatial coherence and sparsity on the raw gradient while preserving fidelity to the model’s … Continue reading Structured Gradients for Neuro–Saliency Under RF Stimulation