Most of our knowledge about the functional organization of neuronal systems is based on
the analysis of the firing patterns of individual neurons that have been recorded one by one …

Events can be understood in terms of their temporal structure. The authors first draw on
several bodies of research to construct an analysis of how people use event structure in …

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 …

How long does it take for the human visual system to process a complex natural image?
Subjectively, recognition of familiar objects and scenes appears to be virtually …

Although the study of visual perception has made more progress in the past 40 years than
any other area of cognitive science, there remain major disagreements as to how closely …

▪ Abstract Three areas of high-level scene perception research are reviewed. The first
concerns the role of eye movements in scene perception, focusing on the influence of …

The ability of humans to recognize a nearly unlimited number of unique visual objects must
be based on a robust and efficient learning mechanism that extracts complex visual features …

In this paper, learning algorithms for radial basis function (RBF) networks are discussed.
Whereas multilayer perceptrons (MLP) are typically trained with backpropagation …

Human navigation is special: we use geographic maps to capture a world far beyond our
unaided locomotion. In consequence, human navigation is widely thought to depend on …

The nature of the information retained from previously fixated (and hence attended) objects
in natural scenes was investigated. In a saccade-contingent change paradigm, participants …