Computational modeling of the primate visual system yields insights of potential relevance to
some of the challenges that computer vision is facing, such as object recognition and …

Abstract Hubel and Wiesel (1962; Journal of Physiology, London, 160, 106–154) introduced
the classification of cortical neurons as simple and complex on the basis of four tests of their …

Texture features that are based on the local power spectrum obtained by a bank of Gabor
filters are compared. The features differ in the type of nonlinear post-processing which is …

The visual system can reliably identify objects even when the retinal image is transformed
considerably by commonly occurring changes in the environment. A local learning rule is …

This paper presents a simple and biologically plausible model of how mammalian visual
systems could detect and identify features in an image. We suggest that the points in a …

Area V4, a visuotopically organized area in prestriate cortex of the macaque, is the major
source of visual input to the inferior temporal cortex, known to be crucial for object …

We propose a biologically motivated method, called nonclassical receptive field (non-CRF)
inhibition (more generally, surround inhibition or suppression), to improve contour detection …

We measured the responses of 305 neurons in striate cortex to moving sinusoidal gratings
modulated in chromaticity and luminance about a fixed white point. Stimuli were represented …

Neurons in primary visual cortex (V1) are commonly classified as simple or complex based
upon their sensitivity to the sign of stimulus contrast. The responses of both cell types can be …

A real-time visual processing theory is used to analyse and explain a wide variety of
perceptual grouping and segmentation phenomena, including the grouping of textured …