Your English writing platform
Discover LudwigExact(17)
High status and low status scrambled face pools consisted of 18 grid-wise scrambled face images.
In Experiment 1, human faces and stimuli composed of scrambled face images were displayed.
On trials in which fewer than four faces were presented, all other matrix locations were occupied by a scrambled face.
The third configuration involved a scrambled face, in which the eyebrows, nose, and mouth of an upright face were randomly rearranged, while the eye positions remained intact (Fig. 2).
Participants were instructed to press one button with their right hand if the image presented looked like self, and another button if it looked like an other or scrambled face.
The two test stimuli employed the present experiment represented a full colour image of a human face and a noise stimulus (scrambled face, see Fig. 1) constructed with the same spatial frequencies and colour distribution as the face.
Similar(43)
Furthermore, SB's performance was better for the inverted faces than for the scrambled faces.
First, we defined face-selective regions by comparing the response to faces with the response to scenes and scrambled faces.
Furthermore, exactly the asymmetry was observed when we examined face-selective coupling (i.e., coupling under faces minus scrambled faces).
Moreover, the FFA's larger response to scrambled faces than scrambled cars suggests that its face-sensitivity is partly due to low-level visual cues.
In Part I, normal upright faces were entwined with scrambled faces, while in Part II normal upright faces were mixed with inverted faces, under unlimited time exposure.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com