Despite tremendous variation in the appearance of visual objects, primates can recognize a
multitude of objects, each in a fraction of a second, with no apparent effort. However, the …

Mounting evidence suggests that 'core object recognition,'the ability to rapidly recognize
objects despite substantial appearance variation, is solved in the brain via a cascade of …

The human visual system can rapidly recognize objects despite transformations that alter
their appearance. The precise timing of when the brain computes neural representations …

Understanding how biological visual systems recognize objects is one of the ultimate goals
in computational neuroscience. From the computational viewpoint of learning, different …

Visual object perception is usually studied by presenting one object at a time at the fovea.
However, the world around us is composed of multiple objects. The way our visual system …

The human visual system is able to recognize objects despite tremendous variation in their
appearance on the retina resulting from variation in view, size, lighting, etc. This ability …

Primates are remarkably good at recognizing objects. The level of performance of their
visual system and its robustness to image degradations still surpasses the best computer …

VisNet2 is a model to investigate some aspects of invariant visual object recognition in the
primate visual system. It is a four-layer feedforward network with convergence to each part of …

Visual object understanding includes processes at the nexus of visual perception and visual
cognition. A traditional approach separates questions that are more associated with …

Invariant visual object recognition is the ability to recognize visual objects despite the vastly
different images that each object can project onto the retina during natural vision, depending …