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 …

This document will review the most prominent proposals using multilayer convolutional
architectures. Importantly, the various components of a typical convolutional network will be …

Human has the remarkable ability of learning novel objects by browsing extremely few
examples, which may be attributed to the generic and robust feature extracted in the ventral …

Studies in biological vision have always been a great source of inspiration for design of
computer vision algorithms. In the past, several successful methods were designed with …

Results from a variety of sources, some many years old, lead ineluctably to a re‐appraisal of
the twin strategies of hierarchical and parallel processing used by the brain to construct an …

We propose a computational model of a simple cell with push-pull inhibition, a property that
is observed in many real simple cells. It is based on an existing model called Combination of …

What are the computational tasks that an executive controller for visual attention must solve?
This question is posed in the context of the Selective Tuning model of attention. The range of …

The study of attentional processing in vision has a long and deep history. Recently, several
papers have presented insightful perspectives into how the coordination of multiple …

Visual area V4 is an important midlevel cortical processing stage that subserves object
recognition in primates. Studies investigating shape coding in V4 have largely probed …

The remarkable abilities of the primate visual system have inspired the construction of
computational models of some visual neurons. We propose a trainable hierarchical object …