How does the brain group together different parts of an object into a coherent visual object
representation? Different parts of an object may be processed by the brain at different rates …

A widespread view is that most texture segregation can be accounted for by differences in
the spatial frequency content of texture regions. Evidence from both psychophysical and …

In classical models of object recognition, first, basic features (eg, edges and lines) are
analyzed by independent filters that mimic the receptive field profiles of V1 neurons. In a …

In order to discuss filling-in in the brain, it is helpful to caste this issue within a larger
framework that clarifies more global properties of brain organization. This is useful because …

In metacontrast masking, the effect of a visual mask stimulus on the perceptual strength of a
target stimulus varies with the stimulus-onset asynchrony (SOA) between them. As SOA …

Both animals and humans represent and compare numerical quantities, but only humans
have evolved multi-digit place-value number systems. This article develops a Spatial …

A key goal of computational neuroscience is to link brain mechanisms to behavioral
functions. The present article describes recent progress towards explaining how laminar …

The manner in which the brain integrates different sensory inputs to facilitate perception and
behavior has been the subject of numerous speculations. By examining multisensory …

Under natural viewing conditions, a single depthful percept of the world is consciously seen.
When dissimilar images are presented to corresponding regions of the two eyes, binocular …

The FACADE model, and its laminar cortical realization and extension in the 3D LAMINART
model, have explained, simulated, and predicted many perceptual and neurobiological data …