[HTML][HTML] Color illusions also deceive CNNs for low-level vision tasks: Analysis and implications
The study of visual illusions has proven to be a very useful approach in vision science. In
this work we start by showing that, while convolutional neural networks (CNNs) trained for …
this work we start by showing that, while convolutional neural networks (CNNs) trained for …
Plaid masking explained with input-dependent dendritic nonlinearities
M Bertalmío, A Durán Vizcaíno, J Malo… - Scientific Reports, 2024 - nature.com
A serious obstacle for understanding early spatial vision comes from the failure of the so-
called standard model (SM) to predict the perception of plaid masking. But the SM originated …
called standard model (SM) to predict the perception of plaid masking. But the SM originated …
Evidence for the intrinsically nonlinear nature of receptive fields in vision
The responses of visual neurons, as well as visual perception phenomena in general, are
highly nonlinear functions of the visual input, while most vision models are grounded on the …
highly nonlinear functions of the visual input, while most vision models are grounded on the …
[HTML][HTML] Standard models of spatial vision mispredict edge sensitivity at low spatial frequencies
One well-established characteristic of early visual processing is the contrast sensitivity
function (CSF) which describes how sensitivity varies with the spatial frequency (SF) content …
function (CSF) which describes how sensitivity varies with the spatial frequency (SF) content …
Fixational eye movements enable robust edge detection
L Schmittwilken, M Maertens - Journal of Vision, 2022 - jov.arvojournals.org
Human vision relies on mechanisms that respond to luminance edges in space and time.
Most edge models use orientation-selective mechanisms on multiple spatial scales and …
Most edge models use orientation-selective mechanisms on multiple spatial scales and …
Luminance invariant encoding in mouse primary visual cortex
The visual system adapts to maintain sensitivity and selectivity over a large range of
luminance intensities. One way that the retina maintains sensitivity across night and day is …
luminance intensities. One way that the retina maintains sensitivity across night and day is …
State-of-the-art image and video quality assessment with a metric based on an intrinsically non-linear neural summation model
R Luna, I Zabaleta, M Bertalmío - Frontiers in neuroscience, 2023 - frontiersin.org
The development of automatic methods for image and video quality assessment that
correlate well with the perception of human observers is a very challenging open problem in …
correlate well with the perception of human observers is a very challenging open problem in …
[HTML][HTML] Noise masking of White's illusion exposes the weakness of current spatial filtering models of lightness perception
Spatial filtering models are currently a widely accepted mechanistic account of human
lightness perception. Their popularity can be ascribed to two reasons: They correctly predict …
lightness perception. Their popularity can be ascribed to two reasons: They correctly predict …
[HTML][HTML] What Fechner could not do: Separating perceptual encoding and decoding with difference scaling
A key question in perception research is how stimulus variations translate into perceptual
magnitudes, that is, the perceptual encoding process. As experimenters, we cannot probe …
magnitudes, that is, the perceptual encoding process. As experimenters, we cannot probe …
Dynamic decorrelation as a unifying principle for explaining a broad range of brightness phenomena
A Lerer, H Supèr, MS Keil - PLOS Computational Biology, 2021 - journals.plos.org
The visual system is highly sensitive to spatial context for encoding luminance patterns.
Context sensitivity inspired the proposal of many neural mechanisms for explaining the …
Context sensitivity inspired the proposal of many neural mechanisms for explaining the …