Left column shows initial movement vectors averaged across participants overlaid with the average full model prediction of the (A) Two-state error-scaling model. (C) Two-state retention-scaling model. (E) Two-state bias-scaling model. (G) Two-state state-aim-scaling model (I) Two-state output-aim-scaling model. Right column shows the corresponding model fits to endpoint hand-angles. Here, human performance averaged across participants is shown in blue. Model predictions in orange. Fit lines and R2 values represent average of models fit to individual subjects.</p
<p>The upper row shows the data for visual-only conditions; the bottom row shows the data for inerti...
Experiment 1: Model fit and optimized parameter distributions for the two-state retention-scaling mo...
Experiment 1: Model fit and optimized parameter distributions for the two-state output-scaling model...
Left column shows initial movement vectors averaged across participants overlaid with the average fu...
Left column shows initial movement vectors averaged across participants overlaid with the average fu...
Experiment 1: Model fit and optimized parameter distributions for the two-state bias-scaling model.<...
Experiment 3: Model fit and optimized parameter distributions for the two-state bias-scaling model.<...
Experiment 1: Model fit and optimized parameter distributions for the two-state aim-scaling model.</...
Experiment 3: Model fit and optimized parameter distributions for the two-state aim-scaling model.</...
Experiment 2: Model fit and optimized parameter distributions for the two-state bias-scaling model.<...
Experiment 2: Model fit and optimized parameter distributions for the two-state aim-scaling model.</...
Experiment 3: Model fit and optimized parameter distributions for the two-state error-scaling model....
Experiment 1: Model fit and optimized parameter distributions for the two-state error-scaling model....
Experiment 2: Model fit and optimized parameter distributions for the two-state error-scaling model....
A. Decomposing model behavior into two metrics. We examined model behavior along two specific aspect...
<p>The upper row shows the data for visual-only conditions; the bottom row shows the data for inerti...
Experiment 1: Model fit and optimized parameter distributions for the two-state retention-scaling mo...
Experiment 1: Model fit and optimized parameter distributions for the two-state output-scaling model...
Left column shows initial movement vectors averaged across participants overlaid with the average fu...
Left column shows initial movement vectors averaged across participants overlaid with the average fu...
Experiment 1: Model fit and optimized parameter distributions for the two-state bias-scaling model.<...
Experiment 3: Model fit and optimized parameter distributions for the two-state bias-scaling model.<...
Experiment 1: Model fit and optimized parameter distributions for the two-state aim-scaling model.</...
Experiment 3: Model fit and optimized parameter distributions for the two-state aim-scaling model.</...
Experiment 2: Model fit and optimized parameter distributions for the two-state bias-scaling model.<...
Experiment 2: Model fit and optimized parameter distributions for the two-state aim-scaling model.</...
Experiment 3: Model fit and optimized parameter distributions for the two-state error-scaling model....
Experiment 1: Model fit and optimized parameter distributions for the two-state error-scaling model....
Experiment 2: Model fit and optimized parameter distributions for the two-state error-scaling model....
A. Decomposing model behavior into two metrics. We examined model behavior along two specific aspect...
<p>The upper row shows the data for visual-only conditions; the bottom row shows the data for inerti...
Experiment 1: Model fit and optimized parameter distributions for the two-state retention-scaling mo...
Experiment 1: Model fit and optimized parameter distributions for the two-state output-scaling model...