More variance explained by the first synergies indicates more organization of motor control. Left: PCA on human morphology (left index, right index, right middle fingers). Right: PCA on the task motor space (q1, q2, q3). Top: test blocks, bottom: training blocks.</p
<p>The table presents the Pearson correlation coefficient between the trajectories of the two princi...
<p>Note: Each colored point represents a sample. The first, second and third principal components ar...
<p>Upper part: Sketch of the apparatus and stimuli display in the target-selection and the reachabil...
The percentage of total variance explained by each PC in artificial agents (A) and in human particip...
The summed variance of all three synergies for artificial agents (left) and human participants (righ...
<p>(A) Mean amplitude of manual reaching actions in the target-selection task across the 400 target ...
<p>Cumulative explained variance and the number of principal components are shown for each movement ...
<p>(A) Density map of the targets selected in the target-selection task by all participants across t...
<p>We extracted 10 features for each dimensionality reduction and alignment method (PCA: A-C; PLS: D...
A-C: Artificial Agents. D-G: Human Participants. Panels A and D depict the central postures (mid-poi...
<p>(A) Density maps of the target selected in the target-selection task by all the participants acro...
Item does not contain fulltextHuman movements, recorded through kinematic data, can be described by ...
<p>(A) Cumulative variability explained by principle components (from the full set of the hand confi...
<p>(A) Density map of the targets selected in the target-selection task by all participants across t...
The cumulative variance explained by the first 20 components is shown at the bottom right, and the t...
<p>The table presents the Pearson correlation coefficient between the trajectories of the two princi...
<p>Note: Each colored point represents a sample. The first, second and third principal components ar...
<p>Upper part: Sketch of the apparatus and stimuli display in the target-selection and the reachabil...
The percentage of total variance explained by each PC in artificial agents (A) and in human particip...
The summed variance of all three synergies for artificial agents (left) and human participants (righ...
<p>(A) Mean amplitude of manual reaching actions in the target-selection task across the 400 target ...
<p>Cumulative explained variance and the number of principal components are shown for each movement ...
<p>(A) Density map of the targets selected in the target-selection task by all participants across t...
<p>We extracted 10 features for each dimensionality reduction and alignment method (PCA: A-C; PLS: D...
A-C: Artificial Agents. D-G: Human Participants. Panels A and D depict the central postures (mid-poi...
<p>(A) Density maps of the target selected in the target-selection task by all the participants acro...
Item does not contain fulltextHuman movements, recorded through kinematic data, can be described by ...
<p>(A) Cumulative variability explained by principle components (from the full set of the hand confi...
<p>(A) Density map of the targets selected in the target-selection task by all participants across t...
The cumulative variance explained by the first 20 components is shown at the bottom right, and the t...
<p>The table presents the Pearson correlation coefficient between the trajectories of the two princi...
<p>Note: Each colored point represents a sample. The first, second and third principal components ar...
<p>Upper part: Sketch of the apparatus and stimuli display in the target-selection and the reachabil...