Analyzing the Evolution of End User Information Technology by John F. Sacco, Darrene Hackler

By John F. Sacco, Darrene Hackler

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Representing and recognizing the visual appearance of materials using three-dimensional textons. : Neural mechanisms of spatial selective attention in areas V1, V2, and V4 of macaque visual cortex. J Neurophysiol. : Cooperative computation of stereo disparity. : Seemore: Combining color, shape, and texture histogramming in a neurally inspired approach to visual object recognition. : Minimizing binding errors using learned conjunctive features. : Visual recognition and inference using dynamic overcomplete sparse learning.

In the area of face recognition, Debruille et al. (1998) found that event-related potentials (ERPs) in response to novel vs. known faces start to differ as early as 76 to 130ms. Since such times are not much longer than the time required for a first wave of spikes to travel through the ventral stream after presentation of an image, it has been argued that visual recognition must be feedforward. However, such an interpretation seems to capture only part of the story. For instance, population codes can increase the speed of information transmission.

Phase) and movement direction of the edge. These properties of V1 neurons were first discovered in the groundbreaking experiments of Hubel and Wiesel (1968). From V1, signals continue to V2 and then to V4. , 1984). g. 5). Thus, the coding in V2 is an early step in a whole series that leads from veridical representation of the physical stimulus to a semantic representation of its perceived meaning. Note that the perception of illusory contours cannot be explained any more by pure feedforward processing.

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