EEG responses to camouflage objects

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 ...,
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.
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suggested Software 

 

 Link

MATLAB

 

https://uk.mathworks.com/

EEGlab 2019_1

 

https://eeglab.org/

FieldTrip 20200310

 

https://www.fieldtriptoolbox.org/

FASTER toolbox 1.2.3b

 

https://sourceforge.net/projects/faster/

, # EEG responses to camouflage objects

Creator(s): Jac Billington (also known as Jaclyn)

Contact: [[e-mail]](mailto:[e-mail])

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_1...