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Foveal analysis and peripheral selection during active visual sampling

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Foveal analysis and peripheral selection during active visual sampling. / Ludwig, Casimir J H; Davies, J R; Eckstein, MP.

In: Proceedings of the National Academy of Sciences of the United States of America, Vol. 111, No. 2, 14.01.2014, p. E291-E299.

Research output: Contribution to journalArticle

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Ludwig, CJH, Davies, JR & Eckstein, MP 2014, 'Foveal analysis and peripheral selection during active visual sampling', Proceedings of the National Academy of Sciences of the United States of America, vol. 111, no. 2, pp. E291-E299. https://doi.org/10.1073/pnas.1313553111

APA

Ludwig, C. J. H., Davies, J. R., & Eckstein, MP. (2014). Foveal analysis and peripheral selection during active visual sampling. Proceedings of the National Academy of Sciences of the United States of America, 111(2), E291-E299. https://doi.org/10.1073/pnas.1313553111

Vancouver

Ludwig CJH, Davies JR, Eckstein MP. Foveal analysis and peripheral selection during active visual sampling. Proceedings of the National Academy of Sciences of the United States of America. 2014 Jan 14;111(2):E291-E299. https://doi.org/10.1073/pnas.1313553111

Author

Ludwig, Casimir J H ; Davies, J R ; Eckstein, MP. / Foveal analysis and peripheral selection during active visual sampling. In: Proceedings of the National Academy of Sciences of the United States of America. 2014 ; Vol. 111, No. 2. pp. E291-E299.

Bibtex

@article{b1f1a835fabf456c9f54469b9bef4202,
title = "Foveal analysis and peripheral selection during active visual sampling",
abstract = "Human vision is an active process in which information is sampled during brief periods of stable fixation in between gaze shifts. Foveal analysis serves to identify the currently fixated object and has to be coordinated with a peripheral selection process of the next fixation location. Models of visual search and scene perception typically focus on the latter, without considering foveal processing requirements. We developed a dual-task noise classification technique that enables identification of the information uptake for foveal analysis and peripheral selection within a single fixation. Human observers had to use foveal vision to extract visual feature information (orientation) from different locations for a psychophysical comparison. The selection of to-be-fixated locations was guided by a different feature (luminance contrast). We inserted noise in both visual features and identified the uptake of information by looking at correlations between the noise at different points in time and behavior. Our data show that foveal analysis and peripheral selection proceeded completely in parallel. Peripheral processing stopped some time before the onset of an eye movement, but foveal analysis continued during this period. Variations in the difficulty of foveal processing did not influence the uptake of peripheral information and the efficacy of peripheral selection, suggesting that foveal analysis and peripheral selection operated independently. These results provide important theoretical constraints on how to model target selection in conjunction with foveal object identification: in parallel and independently.",
keywords = "eye movement control, perceptual decision-making, attention, classification image",
author = "Ludwig, {Casimir J H} and Davies, {J R} and MP Eckstein",
year = "2014",
month = "1",
day = "14",
doi = "10.1073/pnas.1313553111",
language = "English",
volume = "111",
pages = "E291--E299",
journal = "Proceedings of the National Academy of Sciences of the United States of America",
issn = "0027-8424",
publisher = "National Academy of Sciences",
number = "2",

}

RIS - suitable for import to EndNote

TY - JOUR

T1 - Foveal analysis and peripheral selection during active visual sampling

AU - Ludwig, Casimir J H

AU - Davies, J R

AU - Eckstein, MP

PY - 2014/1/14

Y1 - 2014/1/14

N2 - Human vision is an active process in which information is sampled during brief periods of stable fixation in between gaze shifts. Foveal analysis serves to identify the currently fixated object and has to be coordinated with a peripheral selection process of the next fixation location. Models of visual search and scene perception typically focus on the latter, without considering foveal processing requirements. We developed a dual-task noise classification technique that enables identification of the information uptake for foveal analysis and peripheral selection within a single fixation. Human observers had to use foveal vision to extract visual feature information (orientation) from different locations for a psychophysical comparison. The selection of to-be-fixated locations was guided by a different feature (luminance contrast). We inserted noise in both visual features and identified the uptake of information by looking at correlations between the noise at different points in time and behavior. Our data show that foveal analysis and peripheral selection proceeded completely in parallel. Peripheral processing stopped some time before the onset of an eye movement, but foveal analysis continued during this period. Variations in the difficulty of foveal processing did not influence the uptake of peripheral information and the efficacy of peripheral selection, suggesting that foveal analysis and peripheral selection operated independently. These results provide important theoretical constraints on how to model target selection in conjunction with foveal object identification: in parallel and independently.

AB - Human vision is an active process in which information is sampled during brief periods of stable fixation in between gaze shifts. Foveal analysis serves to identify the currently fixated object and has to be coordinated with a peripheral selection process of the next fixation location. Models of visual search and scene perception typically focus on the latter, without considering foveal processing requirements. We developed a dual-task noise classification technique that enables identification of the information uptake for foveal analysis and peripheral selection within a single fixation. Human observers had to use foveal vision to extract visual feature information (orientation) from different locations for a psychophysical comparison. The selection of to-be-fixated locations was guided by a different feature (luminance contrast). We inserted noise in both visual features and identified the uptake of information by looking at correlations between the noise at different points in time and behavior. Our data show that foveal analysis and peripheral selection proceeded completely in parallel. Peripheral processing stopped some time before the onset of an eye movement, but foveal analysis continued during this period. Variations in the difficulty of foveal processing did not influence the uptake of peripheral information and the efficacy of peripheral selection, suggesting that foveal analysis and peripheral selection operated independently. These results provide important theoretical constraints on how to model target selection in conjunction with foveal object identification: in parallel and independently.

KW - eye movement control

KW - perceptual decision-making

KW - attention

KW - classification image

U2 - 10.1073/pnas.1313553111

DO - 10.1073/pnas.1313553111

M3 - Article

VL - 111

SP - E291-E299

JO - Proceedings of the National Academy of Sciences of the United States of America

JF - Proceedings of the National Academy of Sciences of the United States of America

SN - 0027-8424

IS - 2

ER -