Auditory Streaming and Interoception
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- 7.25 GB
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- v1.0.0
- Updated
- Jul 22, 2026
100 results for "scene perception" · page 3 of 10 · ranked by relevance
[ viewing object images at 3.33 Hz to investigate how contextual associations, perceptual attributes, and conceptual properties of objects are represented in neural activity. One participant was excluded due to a technical error in EEG recording. Time-resolved neural decoding was applied to disentangle these distinct representational dimensions from the EEG signals.
…believe that the glasses enhanced perception of either leftward or rightward motion…
THINGS-EEG2 is a large-scale EEG dataset comprising recordings from 10 subjects viewing 16,540 distinct training images and 200 test images presented via rapid serial visual presentation at 5 Hz. The dataset includes 63-channel EEG data sampled at 1000 Hz across 4 sessions per subject, with approximately 32,540 training trials and 16,000 test trials, designed to support computational modeling of human visual object recognition. Stimuli are drawn from the THINGS database, and the dataset includes resting-state recordings and behavioral annotations for each trial.
…participants to view images of scenes and rate their aesthetic properties (beauty…
This dataset comprises human electroencephalography recordings from 20 participants performing a visual attention task involving rapid sequences of overlaid oriented gratings. Participants detected target gratings while manipulating both attention (cued by color) and temporal expectation (predictable vs. unpredictable stimulus onset timing). The study dissociates feature-based attention effects from temporal expectation and target-related decision processes, providing insights into the temporal dynamics of selective attention.
A high-density 124-channel EEG dataset comprising event-related potentials (ERPs) from 10 healthy participants during a visual object recognition task. Participants viewed 5,184 photographs from six object categories (human body, human face, animal body, animal face, fruit/vegetable, and inanimate objects), with 72 photographs per category, presented for 500 ms each. The dataset is suitable for investigating neural representations of object categories through single-trial EEG classification and representational similarity analysis.
This dataset comprises EEG recordings collected using a Visual Attribute-Specific Contextual Trajectory Paradigm, designed to investigate visual attention and perceptual processing of moving stimuli. It provides raw electrophysiological data intended to support research into contextual and attribute-specific visual trajectory processing in humans.
…Each video is additionally human-annotated with 15 object labels, 5 scene…
Imported from OpenNeuro ds002578