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ganglionAnatomical structure
A neural network model of 3-D lightness perception is presented which builds upon the FACADE Theory Boundary Contour System/Feature Contour System of Grossberg and colleagues. Early ratio encoding by retinal ganglion neurons as well as psychophysical results on constancy across different backgrounds (background constancy) are used to provide functional constraints to the theory and suggest a contrast negation hypothesis which states that ratio measures between coplanar regions are given more weight in the determination of lightness of the respective regions. Simulations of the model address data on lightness perception, including the coplanar ratio hypothesis, the Benary cross and VVhite's illusion.Air Force Office of Scientific Research (F...
Agostini and Bruno (1996 Perception & Psychophysics 58 250 - 258) found that, under Gelb lighting (a...
A neural network theory of :3-D vision, called FACADE Theory, is described. The theory proposes a so...
Lightness illusions are fundamental to human perception, and yet why we see them is still the focus ...
Wallach's ratio hypothesis states that local luminance ratios clr!termine lightness perception under...
This article develops a neural model of how the visual system processes natural images under variabl...
This study develops a neuromorphic model of human lightness perception that is inspired by how the m...
This article develops the FACADE theory of three-dimensional (3-D) vision to simulate data concernin...
A neural network model of brightness perception is developed to account for a wide variety of diffic...
A neural network model of early visual processing offers an explanation of brightness effects often ...
A neural network model of brightness perception is developed to account for a wide variety of data, ...
A neural network model of 3-D visual perception and figure-ground separation by visual cortex is int...
A laminar cortical model of stereopsis and later stages of three-dimensional surface perception is p...
In this contribution a neural architecture is proposed that serves as a framework for further empiri...
A neural network theory of three-dimensional (3-D) vision, called FACADE theory, is described. The t...
AbstractA laminar cortical model of stereopsis and later stages of 3D surface perception is develope...
Agostini and Bruno (1996 Perception & Psychophysics 58 250 - 258) found that, under Gelb lighting (a...
A neural network theory of :3-D vision, called FACADE Theory, is described. The theory proposes a so...
Lightness illusions are fundamental to human perception, and yet why we see them is still the focus ...
Wallach's ratio hypothesis states that local luminance ratios clr!termine lightness perception under...
This article develops a neural model of how the visual system processes natural images under variabl...
This study develops a neuromorphic model of human lightness perception that is inspired by how the m...
This article develops the FACADE theory of three-dimensional (3-D) vision to simulate data concernin...
A neural network model of brightness perception is developed to account for a wide variety of diffic...
A neural network model of early visual processing offers an explanation of brightness effects often ...
A neural network model of brightness perception is developed to account for a wide variety of data, ...
A neural network model of 3-D visual perception and figure-ground separation by visual cortex is int...
A laminar cortical model of stereopsis and later stages of three-dimensional surface perception is p...
In this contribution a neural architecture is proposed that serves as a framework for further empiri...
A neural network theory of three-dimensional (3-D) vision, called FACADE theory, is described. The t...
AbstractA laminar cortical model of stereopsis and later stages of 3D surface perception is develope...
Agostini and Bruno (1996 Perception & Psychophysics 58 250 - 258) found that, under Gelb lighting (a...
A neural network theory of :3-D vision, called FACADE Theory, is described. The theory proposes a so...
Lightness illusions are fundamental to human perception, and yet why we see them is still the focus ...
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