Fig. 1.

Regression-based unmixing of simulated data successfully recovers scaled-time and fixed-time components. (A) EEG data were simulated by summing fixed-time components (cue and response), a scaled-time component with differing durations for different trials (short, medium, or long), and noise. (B) The simulated responses were unmixed via a GLM with stick basis functions: cue-locked, response-locked, and a single scaled-time basis spanning from cue to response (i.e., variable duration). (C) The GLM successfully recovered all three components, including the scaled-time component. (D) A conventional ERP analysis (cue-locked and response-locked averages) of the same data obscured the scaled-time component.