Perception, illusions and Bayesian inference
MM Nour, JM Nour - Psychopathology, 2015 - karger.com
Descriptive psychopathology makes a distinction between veridical perception and illusory
perception. In both cases a perception is tied to a sensory stimulus, but in illusions the …
perception. In both cases a perception is tied to a sensory stimulus, but in illusions the …
Perception and reality: why a wholly empirical paradigm is needed to understand vision
D Purves, Y Morgenstern, WT Wojtach - Frontiers in systems …, 2015 - frontiersin.org
A central puzzle in vision science is how perceptions that are routinely at odds with physical
measurements of real world properties can arise from neural responses that nonetheless …
measurements of real world properties can arise from neural responses that nonetheless …
[HTML][HTML] One-shot categorization of novel object classes in humans
One aspect of human vision unmatched by machines is the capacity to generalize from few
samples. Observers tend to know when novel objects are in the same class despite large …
samples. Observers tend to know when novel objects are in the same class despite large …
[HTML][HTML] Deciphering image contrast in object classification deep networks
A Akbarinia, R Gil-Rodriguez - Vision Research, 2020 - Elsevier
The ultimate goal of neuroscience is to explain how complex behaviour arises from neuronal
activity. A comparable level of complexity also emerges in deep neural networks (DNNs) …
activity. A comparable level of complexity also emerges in deep neural networks (DNNs) …
Spontaneous Emergence of Robustness to Light Variation in CNNs With a Precortically Inspired Module
J Petkovic, R Fioresi - Neural Computation, 2024 - direct.mit.edu
The analogies between the mammalian primary visual cortex and the structure of CNNs
used for image classification tasks suggest that the introduction of an additional preliminary …
used for image classification tasks suggest that the introduction of an additional preliminary …
A precortical module for robust cnns to light variations
R Fioresi, J Petkovic - arXiv preprint arXiv:2202.07432, 2022 - arxiv.org
We present a simple mathematical model for the mammalian low visual pathway, taking into
account its key elements: retina, lateral geniculate nucleus (LGN), primary visual cortex (V1) …
account its key elements: retina, lateral geniculate nucleus (LGN), primary visual cortex (V1) …
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 …
Will understanding vision require a wholly empirical paradigm?
D Purves, Y Morgenstern, WT Wojtach - Frontiers in psychology, 2015 - frontiersin.org
Based on electrophysiological and anatomical studies, a prevalent conception is that the
visual system recovers features of the world from retinal images to generate perceptions and …
visual system recovers features of the world from retinal images to generate perceptions and …
An alternative theory of binocularity
CJ Ng, D Purves - Frontiers in Computational Neuroscience, 2019 - frontiersin.org
The fact that seeing with two eyes is universal among vertebrates raises a problem that has
long challenged vision scientists: how do animals with overlapping visual fields combine …
long challenged vision scientists: how do animals with overlapping visual fields combine …
[PDF][PDF] Spontaneous emergence of robustness to light variation in CNNs
J Petkovic, R Fioresi - researchgate.net
The analogies between the mammalian primary visual cortex and the structure of CNNs
used for image classification tasks, suggests that the introduction of an additional …
used for image classification tasks, suggests that the introduction of an additional …