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The screen, disk, and cross elements subtended the same visual extent as in the fMRI experiment.
For each subject, all the faces and the key-press prompts subtended the same visual extent, although this varied between subjects from 0.013 to 0.030 steradians, because of differences in viewing geometry between various subjects.
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A frequently recurring question in numerosity-estimation studies is therefore whether numerosity estimates are based on numerosity itself, or on one or more non-numerical cues like in visual stimuli spatial extent and density.
It is notoriously difficult, however, to establish whether numerosity estimation is based on numerosity itself, or on one or more non-numerical cues like in visual stimuli spatial extent and density.
O&M performance strongly depends on visual field extent, scotoma location, and visual acuity [ 27– 29].
Specifically 1) the responses to variations in visual stimulus extent were inverse in sign, relative to known responses throughout visual cortex; 2) functional connections showed much stronger links to extra-visual regions, as opposed to visual cortex.
This result suggests that LIM activity inversely reflects the visual field extent occupied by the sum of the tested visual stimuli on the screen at a given time, rather than the size of a given object per se.
However, this study differed from the present study in that participants made judgments relative to their perceived visual field extent, and the results show a consistent peripheral bias in perceived location.
To maximize the visual field extent (24.8°), the fixation point was positioned near either the left (50% of runs) or the right edges of the screen within a given run, and it remained at the same location throughout each block.
To a great extent, visual acuity and manual dexterity have replaced the sensitive, inquiring nose found in so many nonprimate mammals.
Shifting among moods, tones and, to an extent, visual styles (sometimes using a fixed digital camera for the 19th century and a hand-held one for the modern scenes) as he switches among time frames and relationships, Mr. Wang never finds a groove.
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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