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Camouflage Patterning Modulates Neural Signatures of Attention and Decision-making

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Journal Proc Biol Sci
Specialty Biology
Date 2024 Aug 13
PMID 39137890
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Abstract

Many animals rely on visual camouflage to avoid detection and increase their chances of survival. Edge disruption is commonly seen in the natural world, with animals evolving high-contrast markings that are incongruent with their real body outline in order to avoid recognition. While many studies have investigated how camouflage properties influence viewer performance and eye movement in predation search tasks, researchers in the field have yet to consider how camouflage may directly modulate visual attention and object processing. To examine how disruptive coloration modulates attention, we use a visual object recognition model to quantify object saliency. We determine if object saliency is predictive of human behavioural performance and subjective certainty, as well as neural signatures of attention and decision-making. We show that increasing edge disruption not only reduces detection and identification performance but is also associated with a dampening of neurophysiological signatures of attentional filtering. Increased self-reported certainty regarding decisions corresponds with neurophysiological signatures of evidence accumulation and decision-making. In summary, we have demonstrated a potential mechanism by which edge disruption increases the evolutionary fitness of animals by reducing the brain's ability to distinguish signal from noise, and hence to detect and identify the camouflaged animal.

Citing Articles

Camouflage patterning modulates neural signatures of attention and decision-making.

Billington J, Hassall C, Craddock M Proc Biol Sci. 2024; 291(2028):20240865.

PMID: 39137890 PMC: 11338579. DOI: 10.1098/rspb.2024.0865.

References
1.
de Alcantara Viana J, Vieira C, Duarte R, Romero G . Predator responses to prey camouflage strategies: a meta-analysis. Proc Biol Sci. 2022; 289(1982):20220980. PMC: 9470275. DOI: 10.1098/rspb.2022.0980. View

2.
Troscianko J, Skelhorn J, Stevens M . Quantifying camouflage: how to predict detectability from appearance. BMC Evol Biol. 2017; 17(1):7. PMC: 5217226. DOI: 10.1186/s12862-016-0854-2. View

3.
Lin C, Chang C, Lee Y . Evaluating camouflage design using eye movement data. Appl Ergon. 2013; 45(3):714-23. DOI: 10.1016/j.apergo.2013.09.012. View

4.
Billington J, Hassall C, Craddock M . Camouflage patterning modulates neural signatures of attention and decision-making. Proc Biol Sci. 2024; 291(2028):20240865. PMC: 11338579. DOI: 10.1098/rspb.2024.0865. View

5.
Oostenveld R, Fries P, Maris E, Schoffelen J . FieldTrip: Open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data. Comput Intell Neurosci. 2011; 2011:156869. PMC: 3021840. DOI: 10.1155/2011/156869. View