The human visual system relies heavily on the structures inherent in natural scenes to understand and process our surroundings. Prior research has demonstrated that disrupting a scene's structure can significantly impact its spatial and categorical perception. While previous studies have primarily focused on spatial aspects, a more detailed understanding of the complex relationship between spatial and categorical structures in natural scenes is necessary.
In this project; to achieve a more comprehensive understanding of the integration of structural properties during scene perception, we propose separating the different parts and the whole scene properties from each other. This can be accomplished by frequency tagging these parts with different frequencies (f1 and f2), which can be analyzed using these frequencies' harmonics (nf1 and mf2) as well as their intermodulations (nf1 ± mf2). This approach will allow us to observe the impacts of different parts on each other and on the whole scene perception separately and in a more detailed manner.
Qualifications:
- Interest and motivation to empirically work on questions such as how the mind works.
-Being able to participate in weekly project meetings, presenting new ideas and critical persepectives.
-Being able to come to the laboratory several times a week (We expect you to do lab work at least 3 hours a week).
-Being willing to carry out tasks that require manual labor (e.g. preparing experiments, cleaning equipment after usage, debriefing participants, collecting behavioral data, etc.)
How to Apply:
If you are interested, email ahmet.yaman@sabanciuniv.edu with a brief description of your motivation for joining this project and current level of research experience.
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