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We illustrate that we can successfully recover the unknowns separating both tonic and phasic components from both experimental and simulated data (with R 0.95). Further, we successfully demonstrate our ability to automatically identify sparsity level for the neural stimuli and smoothness level for the tonic component. Our generalized-cross-validation-based novel method for SC signal decomposition successfully addresses previous challenges and retrieves a physiologically plausible solution. Accurate decomposition of SC could potenti
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