▪ Abstract Perceptual learning involves relatively long-lasting changes to an organism's
perceptual system that improve its ability to respond to its environment. Four mechanisms of …

The processing of spatial information by the visual system shows a number of similarities to
the wavelet transforms that have become popular in applied mathematics. Over the last …

THE receptive fields of simple cells in mammalian primary visual cortex can be
characterized as being spatially localized, oriented1–4 and bandpass (selective to structure …

The spatial receptive fields of simple cells in mammalian striate cortex have been
reasonably well described physiologically and can be characterized as being localized …

It has previously been suggested that neurons with line and edge selectivities found in
primary visual cortex of cats and monkeys form a sparse, distributed representation of …

Since its founding in 1989 by Terrence Sejnowski, Neural Computation has become the
leading journal in the field. Foundations of Neural Computation collects, by topic, the most …

A number of recent attempts have been made to describe early sensory coding in terms of a
general information processing strategy. In this paper, two strategies are contrasted. Both …

We study a particular type of Boltzmann machine with a bipartite graph structure called a
harmo (cid: 173) nium. Our interest is in using such a machine to model a probability …

Low-dimensional representations of sensory signals are key to solving many of the
computational problems encountered in high-level vision. Principal component analysis …

It has long been known that neural networks can learn faster when their input and hidden
unit activities are centered about zero; recently we have extended this approach to also …