Figure 3.
Motor output (force, as a function of percentage perturbation) in the error-clamp block. Dots are across-subject mean of individual trials. Shading is SEM. A, Ab and BAb comparison. Prior training in B biases the motor output toward B. Compare this plot with the predictions of the multiple-context model in Figure 2C. B, Nb and BNb comparison. C, Ab and BgAb comparison. D, Nb and BgNb comparison. E, Expression of B in the error-clamp block. Each dataset represents estimate of B as computed through a between group subtraction. For example, the blue dataset represents the difference in the motor output between the BNb and Nb groups in the error-clamp block: B̂ = BNb − Nb.