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Published in 2019 at "Current Opinion in Behavioral Sciences"
DOI: 10.1016/j.cobeha.2019.08.001
Abstract: fMRI has been an important tool for understanding the functional organization of the human visual cortex for colour vision. Here I focus on three distinct approaches used in fMRI, each addressing a different question. Univariate…
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Keywords:
human visual;
response colour;
fmri;
visual cortex ... See more keywords
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Published in 2020 at "Neuroscience Letters"
DOI: 10.1016/j.neulet.2020.135294
Abstract: Highlights • Cortical GABA levels correlate with contrast detection thresholds.• GABA appears to reduce contrast response gain and intrinsic noise.• Changes in contrast discrimination can be characterised by the Wilson-Cowan model.
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Keywords:
gaba noise;
human visual;
noise gain;
gain human ... See more keywords
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Published in 2019 at "Neuroimage"
DOI: 10.1016/j.neuroimage.2019.116057
Abstract: Studies of changes in cerebral neocortical thickness often rely on small control samples for comparison with specific populations with abnormal visual systems. We present a normative dataset for FreeSurfer-derived cortical thickness across 25 human visual…
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Keywords:
visual areas;
human visual;
normative cerebral;
cortical thickness ... See more keywords
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Published in 2020 at "NeuroImage"
DOI: 10.1016/j.neuroimage.2019.116277
Abstract: Human visual perception is modulated by both temporal and spatial contexts. One type of modulation is apparent in the temporal context effect (TCE): In the presence of a constant luminance patch (a long flash), the…
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Keywords:
context;
human visual;
visual cortex;
temporal context ... See more keywords
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Published in 2020 at "NeuroImage"
DOI: 10.1016/j.neuroimage.2020.117153
Abstract: Hysteresis is a well-known phenomenon in physics that relates changes in a system with its prior history. It is also part of human visual experience (perceptual hysteresis), and two different neural mechanisms might explain it:…
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Keywords:
positive negative;
system;
human visual;
hysteresis ... See more keywords
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Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-59175-0
Abstract: Deep Convolutional Neural Networks (CNNs) are gaining traction as the benchmark model of visual object recognition, with performance now surpassing humans. While CNNs can accurately assign one image to potentially thousands of categories, network performance…
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Keywords:
category;
information;
shape;
human visual ... See more keywords
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Published in 2022 at "Proceedings of the National Academy of Sciences of the United States of America"
DOI: 10.1101/2022.01.04.474849
Abstract: The human visual ability to recognize objects and scenes is widely thought to rely on representations in category-selective regions of visual cortex. These representations could support object vision by specifically representing objects, or, more simply,…
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Keywords:
texture like;
selective regions;
human visual;
visual cortex ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2988766
Abstract: There is a very important index in the influence of human visual perception, that is, the degree of the motion blur about the moving image on display device. In this paper, a new kind of…
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Keywords:
human visual;
eye tracking;
perception;
image ... See more keywords
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Published in 2018 at "Letters in Applied Microbiology"
DOI: 10.1111/lam.12851
Abstract: To evaluate comparative efficiency of traditional vs automated colony counting methods, cultures of Escherichia coli (ATCC 25945), Staphylococcus epidermidis (ATCC 12225), Streptococcus pyogenes (ATCC19615) and Streptococcus pneumoniae (ATCC49619) were prepared as pure cultures and mixed…
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Keywords:
colony;
human visual;
automated colony;
time ... See more keywords
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Published in 2017 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.26.3.031209
Abstract: Abstract. A model of achromatic color computation by the human visual system is presented, which is shown to account in an exact quantitative way for a large body of appearance matching data collected with simple…
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Keywords:
human visual;
computation human;
model;
visual system ... See more keywords
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Published in 2023 at "Annual review of vision science"
DOI: 10.1146/annurev-vision-120522-031739
Abstract: Deep neural networks (DNNs) are machine learning algorithms that have revolutionized computer vision due to their remarkable successes in tasks like object classification and segmentation. The success of DNNs as computer vision algorithms has led…
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Keywords:
models human;
neural networks;
visual perception;
human visual ... See more keywords