AbstractThe human brain is renowned for its dynamic regulation of sensory inputs, which enables our brain to operate under an enormous range of physical energy with sensory neurons whose processing range is limited. Here we present a novel and strong brightness induction that reflects neural mechanisms underlying this dynamic regulation of sensory inputs. When physically identical, stationary and moving objects are viewed simultaneously, the stationary and moving objects appear largely different. Experiments reveal that normalization at multiple stages of visual processing provides a plausible account for the large shifts in perceptual experiences, observed in both the stationary and the moving objects. This novel brightness induction sugge...
The brain is highly efficient at processing complicated patterns of information, filtering ambiguous...
Simple reaction times (RTs) are inversely related to the luminance of a visual region, with RT incre...
Although the human visual system can accurately estimate the reflectance (or lightness) of surfaces ...
AbstractThe human brain is renowned for its dynamic regulation of sensory inputs, which enables our ...
Brightness induction is the modulation of the perceived intensity of an area by the luminance of sur...
Brightness induction is the modulation of the perceived intensity of an area by the luminance of sur...
Brightness induction is the modulation of the perceived intensity of an area by the luminance of sur...
The perception of brightness depends on spatial context: the same stimulus can appear light or dark ...
Background The perception of brightness depends on spatial context: the same stimulus can appear lig...
A physically identical shade of gray on a black background appears lighter than on a white backgroun...
Chromatic induction compellingly demonstrates that chromatic context as well as spectral lights refl...
The interaction between brightness and color causes there to be different color appearance when one ...
Computational neuromodeling may help to further our understanding of how empirical neuroimaging find...
The visual system is highly sensitive to spatial context for encoding luminance patterns. Context se...
AbstractA new class of brightness illusions is introduced that cannot be entirely accounted for by b...
The brain is highly efficient at processing complicated patterns of information, filtering ambiguous...
Simple reaction times (RTs) are inversely related to the luminance of a visual region, with RT incre...
Although the human visual system can accurately estimate the reflectance (or lightness) of surfaces ...
AbstractThe human brain is renowned for its dynamic regulation of sensory inputs, which enables our ...
Brightness induction is the modulation of the perceived intensity of an area by the luminance of sur...
Brightness induction is the modulation of the perceived intensity of an area by the luminance of sur...
Brightness induction is the modulation of the perceived intensity of an area by the luminance of sur...
The perception of brightness depends on spatial context: the same stimulus can appear light or dark ...
Background The perception of brightness depends on spatial context: the same stimulus can appear lig...
A physically identical shade of gray on a black background appears lighter than on a white backgroun...
Chromatic induction compellingly demonstrates that chromatic context as well as spectral lights refl...
The interaction between brightness and color causes there to be different color appearance when one ...
Computational neuromodeling may help to further our understanding of how empirical neuroimaging find...
The visual system is highly sensitive to spatial context for encoding luminance patterns. Context se...
AbstractA new class of brightness illusions is introduced that cannot be entirely accounted for by b...
The brain is highly efficient at processing complicated patterns of information, filtering ambiguous...
Simple reaction times (RTs) are inversely related to the luminance of a visual region, with RT incre...
Although the human visual system can accurately estimate the reflectance (or lightness) of surfaces ...