FIG. 2.
Illustration of superposition for SSMLTI,2 in the washout paradigm (WO). Formatting and system constants are the same as in Fig. 1. The rows correspond to a decomposition of the net input [(from top) initial adaptation stimulus, washout phase, readaptation stimulus, summed inputs]. Because a sufficient number of washout trials was inserted between the initial adaptation and readaptation stimuli to bring the state vector close to its naive value of (in this case) 0, the apparent rates of adaptation during the readaptation and initial adaptation phases are not nearly as distinguishable as in CP (Fig. 1). However, the directional error output (and thus savings) in response to the summed perturbations can be predicted simply from the superposition of the directional errors caused by the individual perturbations (this superposition being the red curve in the shaded plot), without additional concern for the values of the slow and fast components of the state vector (blue and green curves, respectively, in shaded plot). Perturbation function for this WO paradigm: 0° for 1 ≤ n ≤ 10, 30° for 11 ≤ n ≤ 100, 0° for 101 ≤ n ≤ 200, 30° for 201 ≤ n ≤ 280.