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Performance is driven by top-down map.

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posted on 2017-08-21, 18:39 authored by Peter Neri

A-D show collections of image regions (approximately 3 × probe size) surrounding probe insertion points (with embedded congruent probe) at rich/poor locations on top-down map (A-B versus C-D) or bottom-up map (B,D versus A,C). The poor→rich transition is perceptually evident across the bottom-up map (left → right). E plots sensitivity (d′) for poor (y axis) versus rich (x axis) locations on the bottom-up (black) or top-down map (green) in individual observers (1 symbol per observer), as well as precue (y axis) versus postcue (x axis) configurations (magenta). F-G plot sensitivity rich/poor log-ratios for top-down (y axis) and bottom-up (x axis) comparisons when scenes were upright or inverted (black or red in F) and precued or postcued (black or magenta in G). Error bars plot ±1 SEM. Coloured diagonal segments in E plot 95% confidence intervals for data projected along negative diagonal. Horizontal/vertical segments near x/y axes in F-G plot confidence intervals for bottom-up/top-down log-ratio effects; light-coloured contours indicate data spread for visualization aid. Data for this figure is available from S2 Data.

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