EEG responses to camouflage objects
Data files
Jul 24, 2024 version files 4.60 GB
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behave_additional.zip
1.18 MB
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parts_1_3.7z
888.50 MB
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parts_10_12.7z
245.44 MB
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parts_13_15.7z
754.06 MB
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parts_16_18.7z
739.24 MB
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parts_19_21.7z
742.70 MB
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parts_4_6.7z
742.56 MB
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parts_7_9.7z
484.17 MB
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README.md
2.41 KB
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 to avoid recognition. Whilst 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 colouration 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 the animals by reducing the brain’s ability to distinguish signal from noise and, hence, to detect and identify the camouflaged animal.
Creator(s): Jac Billington (also known as Jaclyn)
Contact: j.billington@leeds.ac.uk
Organisation(s): University of Leeds
Publication Year: 2024
Description: This data set contains behavioural and EEG output data from one experiment.
Related publication: Intended to Proceedings of the Royal Society B August 2023.
Data files and structure
21 .bdf files collected using an EEGbiosemi system at the School of Psychology, University of Leeds. Participants were given randomised codes at the point of data collection and were not identifiable. .bdf files can be imported into EEG analysis software such as EEGlab*.
Participant codes [bgty, bvcd, cder, cocq, cxza, erfd, jabi, mnbg, nbvf, nhyu, qwsa, rtgf, tyhg, uikj, vcxs, vfrt, weds, xpbc, xswe, yujh, and zaqw]
Participants “parts_*” have been split into .7z folders in sets of three for space-saving purposes:
- parts_1_3.7z
- parts_4_6.7z
- parts_7_9.7z
- parts_10_12.7z
- parts_13_15.7z
- parts_16_18.7z
- parts_19_21.7z
One .7z folder containing additional behavioural files for each EEG file:
- behave_additional.7z
- Contents:
- main_eventcodes2.txt
- Event trigger file (for use with EEGlab): main_eventcodes_explain.txt
- Same as the file above but with a more detailed explanation of trigger codes.
behavioural_eeg_output
This folder contains all of the raw output files for the behavioural data. “README_heading_explanations.xlsx” provide details of what each header means in the remaining “_output.xlsx” files in the folder.
- README_heading_explanations.xlsx
- bgty_AB_output.xlsx
- bvcd_AB_output.xlsx
- cder_AB_output.xlsx
- cocq_AB_output.xlsx
- cxza_AB_output.xlsx
- erfd_AB_output.xlsx
- jabi_AB_output.xlsx
- mnbg_AB_output.xlsx
- nbvf_AB_output.xlsx
- nhyu_AB_output.xlsx
- qwsa_AB_output.xlsx
- rtgf_AB_output.xlsx
- tyhg_AB_output.xlsx
- uikj_AB_output.xlsx
- vcxs_AB_output.xlsx
- vfrt_AB_output.xlsx
- weds_AB_output.xlsx
- xpbc_AB_output.xlsx
- xswe_AB_output.xlsx
- yujh_AB_output.xlsx
- Note zaqw does not have a behavioural file
Removals:
%% participants removed for poor data prior to publication
% zaqw: PC didn’t save any behavioural. REMOVED
% nhyu: Got too many wrong, reported couldn’t see them well. REMOVED
% qwsa: same as above but not as bad - check out. REMOVED
Event codes can be found in main eventcodes2.txt
Data was collected using an EEGbiosemi machine at the School of Psychology, University of Leeds, UK. All data were collected by Jac Billington. The data set contains both electrophysiological responses from the human brain and behavioural responses to the task.
A total of twenty-one adult participants were recruited. Two participants were removed immediately following data collection; one could not complete the task as they could not see the camouflage stimuli and (due to an equipment failure) one did not have any recorded behavioural data. During EEG data pre-processing, one more participant was removed due to excessive noise evident in ERP signatures.
suggested Software |
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Link |
MATLAB |
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https://uk.mathworks.com/ |
EEGlab 2019_1 |
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https://eeglab.org/ |
FieldTrip 20200310 |
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https://www.fieldtriptoolbox.org/ |
FASTER toolbox 1.2.3b |
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https://sourceforge.net/projects/faster/ |