Conventional analysis of trial-by-trial adaptation is biased: Empirical and theoretical support using a Bayesian estimator
Fig 3
Single subject movement data and adaptation rate quantification.
(a) Trial-by-trial endpoint error data (one degree-of-freedom) for a block of 70 consecutive movements of a human subject controlling an on-screen cursor with a computer mouse. (b) Linear regression of ΔError vs. Error for initial trials in a. Red line indicates line of best fit whose slope (-0.69) is defined as the adaptation rate. ΔError = Errori+1-Errori. (c) Linear regression of ΔError vs. Error for steady-state trials in a. The regression coefficient equals -1.11.