Chromatic and achromatic vision: Parameter choice and limitations for reliable model predictions

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Chromatic and achromatic vision : Parameter choice and limitations for reliable model predictions. / Olsson, Peter; Lind, Olle; Kelber, Almut.

In: Behavioral Ecology, Vol. 29, No. 2, 14.03.2018, p. 273-282.

Research output: Contribution to journalReview article

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TY - JOUR

T1 - Chromatic and achromatic vision

T2 - Behavioral Ecology

AU - Olsson, Peter

AU - Lind, Olle

AU - Kelber, Almut

PY - 2018/3/14

Y1 - 2018/3/14

N2 - Many animals use vision to detect, discriminate, or recognize important objects such as prey, predators, homes, or mates. These objects may differ in color and brightness-having chromatic and achromatic contrast to the background or to other objects. Visual models are powerful tools to investigate contrast detection, but need to be calibrated by experimental data to provide robust predictions. The most critical parameter of current models-receptor noise-is usually estimated from a small number of behavioral tests on chromatic contrast thresholds, while equivalent tests of achromatic thresholds in a wide range of animals have often been ignored. We suggest that both chromatic and achromatic contrasts in studies of visual ecology should be examined using calibrated model parameters, and we provide a compilation of what is currently known on visual thresholds and corresponding noise estimates. Besides the need for careful parameter estimation, we discuss how the robustness of model predictions depends on assumptions about overall light intensity, background color and brightness, object size, and behavioral context.

AB - Many animals use vision to detect, discriminate, or recognize important objects such as prey, predators, homes, or mates. These objects may differ in color and brightness-having chromatic and achromatic contrast to the background or to other objects. Visual models are powerful tools to investigate contrast detection, but need to be calibrated by experimental data to provide robust predictions. The most critical parameter of current models-receptor noise-is usually estimated from a small number of behavioral tests on chromatic contrast thresholds, while equivalent tests of achromatic thresholds in a wide range of animals have often been ignored. We suggest that both chromatic and achromatic contrasts in studies of visual ecology should be examined using calibrated model parameters, and we provide a compilation of what is currently known on visual thresholds and corresponding noise estimates. Besides the need for careful parameter estimation, we discuss how the robustness of model predictions depends on assumptions about overall light intensity, background color and brightness, object size, and behavioral context.

KW - achromatic contrast sensitivity

KW - color contrast

KW - intensity contrast

KW - visual modeling

KW - Weber fraction

U2 - 10.1093/beheco/arx133

DO - 10.1093/beheco/arx133

M3 - Review article

VL - 29

SP - 273

EP - 282

JO - Behavioral Ecology

JF - Behavioral Ecology

SN - 1045-2249

IS - 2

ER -