<p><b>A)</b> For each subject, the computation of the psychometric curve was obtained by extracting the distribution of the force level explored by the participant during the UP-DOWN staircase adaptive procedure and by fitting a logistic function to the probability of a positive answer with respect to each external force level (x). Ψ<i>ps</i>, <i>β1ps</i>, <i>β0ps</i> indicate the absolute threshold (PSE), the slope and the intercept, respectively, characterizing the logistic function that best explains the probability of detecting an upward force given each stimulus force. <b>B)</b> Computation of the muscle-metric curve was obtained by means of a weighted pool of all muscle activity (PoolEMG) and then fitting a logistic function to the pr...
A psychometric function is used to summarize classifi-cation performance (such as detection or discr...
A method of estimating subject specific muscle parameters of musculoskeletal models of elite athlete...
Whenever psychometric functions are used to evaluate human performance on some task, it is valuable ...
<p>Individual maximum likelihood (ML) estimated threshold (<i>PSE fit</i>), intercept and slope ± SE...
<p>Each curve illustrates the distribution of R<sup>2</sup> measures given each nested model’s numbe...
<p>Individual ML threshold, intercept and slope parameters ± SE obtained by Logit glm fit describing...
<p><b>A)</b> Individual median (± S.E.) of net (black) and residual (gray) elbow flexion torques as ...
<p>Concordance between the shape of the psycho and muscle metric curves as well as between threshold...
<p>Psychometric curves grouped by response type (A) and by verbal report accuracy (B) as a function ...
AbstractRecent developments in the efficient estimation of threshold are here extended to the proble...
(A) Distribution of threshold estimates for a given template. (B) Distribution of the absolute error...
It has been largely proved that while judging a force humans mainly rely on the motor commands produ...
<p>The thin, coloured curves show the psychometric function of <a href="http://www.plosone.org/artic...
According to contemporary psychophysical theory, the relationship between the strength of a perceive...
Introduction: Muscle activation under different contraction paradigms and rate of force or torque de...
A psychometric function is used to summarize classifi-cation performance (such as detection or discr...
A method of estimating subject specific muscle parameters of musculoskeletal models of elite athlete...
Whenever psychometric functions are used to evaluate human performance on some task, it is valuable ...
<p>Individual maximum likelihood (ML) estimated threshold (<i>PSE fit</i>), intercept and slope ± SE...
<p>Each curve illustrates the distribution of R<sup>2</sup> measures given each nested model’s numbe...
<p>Individual ML threshold, intercept and slope parameters ± SE obtained by Logit glm fit describing...
<p><b>A)</b> Individual median (± S.E.) of net (black) and residual (gray) elbow flexion torques as ...
<p>Concordance between the shape of the psycho and muscle metric curves as well as between threshold...
<p>Psychometric curves grouped by response type (A) and by verbal report accuracy (B) as a function ...
AbstractRecent developments in the efficient estimation of threshold are here extended to the proble...
(A) Distribution of threshold estimates for a given template. (B) Distribution of the absolute error...
It has been largely proved that while judging a force humans mainly rely on the motor commands produ...
<p>The thin, coloured curves show the psychometric function of <a href="http://www.plosone.org/artic...
According to contemporary psychophysical theory, the relationship between the strength of a perceive...
Introduction: Muscle activation under different contraction paradigms and rate of force or torque de...
A psychometric function is used to summarize classifi-cation performance (such as detection or discr...
A method of estimating subject specific muscle parameters of musculoskeletal models of elite athlete...
Whenever psychometric functions are used to evaluate human performance on some task, it is valuable ...