scholarly journals Histological features of layers and sublayers in cortical visual areas V1 and V2 of chimpanzees, macaque monkeys, and humans

Eye and Brain ◽  
2014 ◽  
pp. 5 ◽  
Author(s):  
Pooja Balaram ◽  
Jon Kaas ◽  
Nicole Young
Keyword(s):  
Macaque Monkeys ◽  
Histological Features ◽  
Visual Areas ◽  
Cortical Visual Areas

scholarly journals Temporal frequency and chromatic processing in humans: An fMRI study of the cortical visual areas

2011 ◽  
Vol 11 (8) ◽  
pp. 8-8 ◽  
Author(s):  
D. V. D'Souza ◽  
T. Auer ◽  
H. Strasburger ◽  
J. Frahm ◽  
B. B. Lee
Keyword(s):  
Temporal Frequency ◽  
Fmri Study ◽  
Visual Areas ◽  
Chromatic Processing ◽  
Cortical Visual Areas

scholarly journals The cortical visual areas of the sheep.

1976 ◽  
Vol 256 (3) ◽  
pp. 497-508 ◽  
Author(s):  
P G Clarke ◽  
D Whitteridge
Keyword(s):  
Visual Areas ◽  
Cortical Visual Areas

scholarly journals Neural correlates of spatial orienting in the human superior colliculus

2011 ◽  
Vol 106 (5) ◽  
pp. 2273-2284 ◽  
Author(s):  
Elaine J. Anderson ◽  
Geraint Rees
Keyword(s):  
Superior Colliculus ◽  
High Speed ◽  
Neural Correlates ◽  
Inhibitory Response ◽  
Neural Basis ◽  
Spatial Orienting ◽  
Visual Areas ◽  
Oculomotor Responses ◽  
Salient Event ◽  
Cortical Visual Areas

A natural visual scene contains more information than the visual system has the capacity to simultaneously process, requiring specific items to be selected for detailed analysis at the expense of others. Such selection and inhibition are fundamental in guiding search behavior, but the neural basis of these mechanisms remains unclear. Abruptly appearing visual items can automatically capture attention, but once attention has been directed away from the salient event, return to that same location is slowed. In non-human primates, signals associated with attentional capture (AC) and subsequent inhibition of return (IOR) have been recorded from the superior colliculus (SC)—a structure known to play a pivotal role in reflexive spatial orienting. Here, we sought to establish whether similar signals could be recorded from the human SC, as well as early retinotopic cortical visual areas, where signals associated with AC and IOR have yet to be investigated with respect to oculomotor responses. Using an optimized oculomotor paradigm together with high-field, high-spatial resolution functional magnetic resonance imaging and high-speed eye tracking, we demonstrate that BOLD signal changes recorded from the human SC correlate strongly with our saccadic measures of AC and IOR. A qualitatively similar pattern of responses was found for V1, but only the inhibitory response associated with IOR persisted through V2 and V3. Although the SC plays a role in mediating these automatic attentional biasing signals, the source of these signals is likely to lie in higher cortical areas.

scholarly journals Biological variation in the sizes, shapes and locations of visual cortical areas in the mouse

2018 ◽  
Author(s):  
Jack Waters ◽  
Eric Lee ◽  
Nathalie Gaudreault ◽  
Fiona Griffin ◽  
Jerome Lecoq ◽  
...  
Keyword(s):  
Visual Cortex ◽  
Visual Information ◽  
Biological Variation ◽  
Measurement Noise ◽  
Cortical Areas ◽  
Retinotopic Maps ◽  
Visual Areas ◽  
Visual Cortical ◽  
Cortical Visual Areas ◽  
Processing Of Visual Information

ABSTRACTVisual cortex is organized into discrete sub-regions or areas that are arranged into a hierarchy and serve different functions in the processing of visual information. In our previous work, we noted that retinotopic maps of cortical visual areas differed between mice, but did not quantify these differences or determine the relative contributions of biological variation and measurement noise. Here we quantify the biological variation in the size, shape and locations of 11 visual areas in the mouse. We find that there is substantial biological variation in the sizes of visual areas, with some visual areas varying in size by two-fold across the population of mice.

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