generateGabor

Generate stimuli and analyze data of reverse correlation image
classification experiments (psychophysical tasks aimed at visualizing
cognitive mental representations of faces). For the method see Dotsch and
Todorov (2012) <doi:10.1177/1948550611430272>; for a practical primer see
Brinkman, Todorov and Dotsch (2017) <doi:10.1080/10463283.2017.1381469>.

Ron Dotsch

rcicr

Reverse-Correlation Image-Classification Toolbox

generateGabor function

<dl><dt>img_size</dt>
<dd>Integer specifying size of gabor patch in number of pixels.</dd>
<dt>cycles</dt>
<dd>Integer specifying number of cycles the sinusoid should span.</dd>
<dt>angle</dt>
<dd>Value specifying the angle (rotation) of the sinusoid.</dd>
<dt>phase</dt>
<dd>Value specifying phase of sinusoid.</dd>
<dt>sigma</dt>
<dd>Value specifying the standard deviation, in pixels, of the
Gaussian mask applied on top of the sinusoid.</dd>
<dt>contrast</dt>
<dd>Value between -1.0 and 1.0 specifying contrast of sinusoid.</dd></dl>

Arguments

Generate single gabor patch — generateGabor

<dl>

<dt>img_size</dt>
<dd>Integer specifying size of gabor patch in number of pixels.</dd>


<dt>cycles</dt>
<dd>Integer specifying number of cycles the sinusoid should span.</dd>


<dt>angle</dt>
<dd>Value specifying the angle (rotation) of the sinusoid.</dd>


<dt>phase</dt>
<dd>Value specifying phase of sinusoid.</dd>


<dt>sigma</dt>
<dd>Value specifying the standard deviation, in pixels, of the
Gaussian mask applied on top of the sinusoid.</dd>


<dt>contrast</dt>
<dd>Value between -1.0 and 1.0 specifying contrast of sinusoid.</dd>

</dl>

generateGabor: Generate single gabor patch

Description

Usage

Value

Arguments

Examples