Rapid Long Lasting Learning in a Collinear Edge-Detection Task

Creators: Bush, Eliot C.; Shimojo, Shinsuke; Allman, John M.

Abstract

We have developed a detection task in which subjects identify a pair of collinear edges in a field of polygons. Five of our six subjects showed significant, rapid learning at this task. Four showed evidence of retention a day and a week later. In several transfer tests, we found that disruption of the distractors produced a significant drop-off in performance. These results are consistent with a model in which collinear targets initially produce a salience signal too weak to be reliably detected over the noise of the distractors. As the experiment proceeds, the visual system learns to dampen the distractor signals, allowing for more reliable detection.

Additional Information

© 2002 Pion. Received 14 September 2001, in revised form 4 April 2002. We thank Katsumi Watanabe and David Rosenbluth for helpful discussions and technical assistance. We also thank Karli Watson, Stephen Shephard, and Atiya Hakeem, as well as two anonymous reviewers, for helpful comments. This research was supported by NIH EY11759, GM07737, and Caltech.

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Rapid Long Lasting Learning in a Collinear Edge-Detection Task

Abstract

Additional Information

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