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Adaptive recruitment of cortex-wide recurrence for visual object recognition (EEG)

This dataset contains EEG recordings from 34 participants collected to investigate the adaptive recruitment of cortex-wide recurrent processing during visual object recognition. Participants viewed a stimulus set of 242 images, comprising 'challenge' and 'control' images selected based on discrepancies between human behavioral performance and AlexNet classification, while performing a rapid serial visual presentation task with a paper-clip detection component. The dataset includes derivatives with time-resolved decoding accuracy matrices for object identity, supporting analyses of recurrent cortical dynamics in visual processing.

Participants: 34
Channels: 63 (10-10)
Citations: 1
Size: 61.2 GB
Version: v1.0.0
Updated: Aug 19, 2026

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