Welcome to the new version of CaltechAUTHORS. Login is currently restricted to library staff. If you notice any issues, please email coda@library.caltech.edu
Published December 2000 | Published
Journal Article Open

Attentional effects on contrast detection in the presence of surround masks

Abstract

We studied how attention affects contrast detection performance when the target is surrounded by mask elements. In each display quadrant we presented a hexagon of six vertical Gabor patches (the 'surround'). Only one of the hexagons contained a central Gabor patch (the 'target') and the task was to report that quadrant (spatial four-alternative-forced choice). Attention was manipulated by means of a double-task paradigm: in one condition observers had to perform concurrently a central letter-discrimination task, and the contrast-detection task was then only poorly attended, while attention was fully available in the other condition. We find that under poorly attended conditions targets can be detected only when the target contrast exceeds the surround contrast (contrast popout) or when the target orientation differs from the surround orientation by more than 10–15° (orientation popout). When the target orientation is similar to the surround orientation, attention can reduce the contrast detection thresholds in some cases more than four-fold, demonstrating a very strong attentional effect.

Additional Information

© 2000 Elsevier Science Ltd. Received 9 March 2000; received in revised form 26 July 2000. We would like to thank Geraint Rees for helpful discussions. This research was supported by NSF, the NAF-sponsored Neuromorphic Engineering Center, and NIMH. BZ acknowledges a fellowship from Caltech's Division of Biology.

Attached Files

Published - 187.pdf

Published - 187.ps

Files

187.pdf
Files (860.8 kB)
Name Size Download all
md5:6fd178c129a301e070b5c377e188b3be
700.7 kB Download
md5:175cedd444d0da32ff9f709938d99e7f
160.2 kB Preview Download

Additional details

Created:
September 15, 2023
Modified:
October 23, 2023