Visual Object Recognition Features with Stimuli and Participant Data

Five compressed archives contain the complete stimuli and data for a study on the visual features underlying object recognition. The dataset includes experimental object images, MATLAB files with aperture coordinates, and raw trial-level data from individual participants. Martin Arguin submitted the associated research to Vision Research in 2026.

Use Cases

• Replicate classification image analyses based on the provided z-scored data.
• Study the role of specific visual apertures in object recognition using the provided coordinate files.
• Analyze individual participant trial-level performance from the raw 'allData' matrices.

Strengths

• Includes the complete experimental stimuli and raw data for five distinct experiments.
• Provides both raw trial-level data and processed z-scored classification images for analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Borealis Harvested Dataverse

Collection Method

Experimental data collected from psychophysical studies on object recognition.

Time Range

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Freshness

Last updated 2026-04 25 04:14:32; freshness should be verified

Geography

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