<p>Psychometric functions from observer P2, for all three cue combinations and the two presentation conditions: left: dark vs. texture, middle: red vs. texture, and right: violet vs. texture. Graphs show the proportion of trials on which the non-texture cue was judged to produce the stronger orientation structure as a function of the logarithm of the ratio of non-texture cue contrast to texture contrast. Blue symbols show data from the Separate condition; red Combined. Lines show best fit logistic functions – see main text.</p
Psychometric function ψ(x; α, β, γ, λ) (bold black sigmoid) and cumulative Gaussian function FGauss(...
<p>Filled circles and solid lines show the raw data and fitted psychometric curves, respectively.</p
<p>Plots show the psychometric functions obtained from three sessions of roving training, namely fro...
<p>Typical psychometric functions (continuous lines) for one participant. Different marker shapes in...
<p>(A) Psychometric function in the scrambled biological condition: the X-axis shows the deviation i...
<p>Solid curves are maximum likelihood fits of cumulative Weibull functions to the proportion correc...
<p>A) Example psychometric functions are shown for a representative observer for the middle green re...
<p>Raw data (size of data points representing number of repetitions) is shown for one subject. Plott...
A psychometric function is used to summarize classifi-cation performance (such as detection or discr...
<p>(a) Examples of psychometric functions for the peripheral grating detection. The upper panel show...
Psychometric curves represent the probability (y-axis) that a voxel will be labeled as part of the e...
<p>The psychometric functions show the proportion of “right” responses as a function of CLT. The sol...
<p>Each data point is labelled with the number of trials tested at that contrast level. The Weibull ...
Illustration of the psychometric function ψ(x; α, β, γ, λ) (bold black sigmoid) and related paramete...
<p>X-axis represents stimulus intensity level and Y-axis represents response probability. The stimul...
Psychometric function ψ(x; α, β, γ, λ) (bold black sigmoid) and cumulative Gaussian function FGauss(...
<p>Filled circles and solid lines show the raw data and fitted psychometric curves, respectively.</p
<p>Plots show the psychometric functions obtained from three sessions of roving training, namely fro...
<p>Typical psychometric functions (continuous lines) for one participant. Different marker shapes in...
<p>(A) Psychometric function in the scrambled biological condition: the X-axis shows the deviation i...
<p>Solid curves are maximum likelihood fits of cumulative Weibull functions to the proportion correc...
<p>A) Example psychometric functions are shown for a representative observer for the middle green re...
<p>Raw data (size of data points representing number of repetitions) is shown for one subject. Plott...
A psychometric function is used to summarize classifi-cation performance (such as detection or discr...
<p>(a) Examples of psychometric functions for the peripheral grating detection. The upper panel show...
Psychometric curves represent the probability (y-axis) that a voxel will be labeled as part of the e...
<p>The psychometric functions show the proportion of “right” responses as a function of CLT. The sol...
<p>Each data point is labelled with the number of trials tested at that contrast level. The Weibull ...
Illustration of the psychometric function ψ(x; α, β, γ, λ) (bold black sigmoid) and related paramete...
<p>X-axis represents stimulus intensity level and Y-axis represents response probability. The stimul...
Psychometric function ψ(x; α, β, γ, λ) (bold black sigmoid) and cumulative Gaussian function FGauss(...
<p>Filled circles and solid lines show the raw data and fitted psychometric curves, respectively.</p
<p>Plots show the psychometric functions obtained from three sessions of roving training, namely fro...