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Probing the Role of Feature Dimension Maps in Visual Cognition: Impact of Salience Level (Eye-tracking Follow-up Study)
Sponsor: University of California, Santa Barbara
Summary
How does one know what to look at in a scene? Imagine a "Where's Waldo" game - it's challenging to find Waldo because there are many 'salient' locations in the picture, each vying for one's attention. One can only attend to a small location on the picture at a given moment, so to find Waldo, one needs to direct their attention to different locations. One prominent theory about how one accomplishes this claims that important locations are identified based on distinct feature types (for example, motion or color), with locations most unique compared to the background most likely to be attended. An important component of this theory is that individual feature dimensions (again, color or motion) are computed within their own 'feature maps', which are thought to be implemented in specific brain regions. However, whether and how specific brain regions contribute to these feature maps remains unknown. The goal of this study is to determine how brain regions that respond strongly to different feature types (color and motion) and which encode spatial locations of visual stimuli extract 'feature dimension maps' based on stimulus properties, including feature contrast. The investigators hypothesize that feature-selective brain regions act as neural feature dimension maps, and thus encode representations of salient location(s) based on their preferred feature dimension. The investigators will collect eye-tracking data while participants view visual stimuli made salient based on different combinations of feature dimensions. From the eye-tracking data, the investigators will construct fixation heat maps on the feature dimensions for all levels of salience, allowing them to connect behavioral data to the latter fMRI dataset. Each participant will freely view the stimuli as they appear on the computer display. Across trials, the investigators will manipulate 1) the 'strength' of the salient locations based on how different the salient stimulus is compared to the background, 2) the number of salient locations, and 3) the feature value(s) used to make each location salient. Altogether, these manipulations will help the investigators fully understand these critical salience computations in the healthy human visual system.
Official title: Probing the Role of Feature Dimension Maps in Visual Cognition: Expt 1.1 (Behavioral)
Key Details
Gender
All
Age Range
18 Years - 55 Years
Study Type
INTERVENTIONAL
Enrollment
20
Start Date
2024-11-22
Completion Date
2025-04-02
Last Updated
2026-05-11
Healthy Volunteers
Yes
Interventions
Stimulus properties: salience-defining feature
The feature used to define a salient location will be varied across trials (checkerboard contrast; motion direction; color hue)
Stimulus properties: magnitude of salience
The magnitude of the salient location will be varied across trials independently from salience-defining feature (based on feature contrast)
Locations (1)
University of California, Santa Barbara
Santa Barbara, California, United States