Categorized Free Recall with Closed-Loop Stimulation at Encoding (Encoding Classifier)
…With a 750-1000 ms inter-stimulus interval, there is enough time…
- Participants
- 9
- Size
- 12.2 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
100 results for "stimulus features" · page 10 of 10 · ranked by relevance
…With a 750-1000 ms inter-stimulus interval, there is enough time…
This dataset contains neural recordings investigating the brain's representation of consciously perceived versus unconsciously processed visual information. The study examines how neural activity differs when identical visual stimuli are either consciously seen or remain outside conscious awareness, providing insights into the neural correlates of consciousness and visual perception.
…image presented in a stimulus block. During Rest or Motor Imagery (Task…
…of brain activity and acoustic featuresԬ Brain and Cognition, 101:1-11…
This dataset comprises electroencephalography, physiological, and behavioral data collected from 103 healthy individuals (ages 21-45) during visual illusion perception tasks and resting-state recordings. Participants performed perceptual judgments on three classic visual illusions (Ebbinghaus, Müller-Lyer, and Vertical-Horizontal) with manipulated difficulty and illusion strength, followed by an 8-minute eyes-closed resting-state period. The multimodal dataset includes 64-channel EEG, electrocardiogram, photoplethysmography, and respiration signals, enabling investigation of neural correlates of visual illusion sensitivity and resting-state brain activity.
…memory task, with two added features: (1) interspersing the sequence of presented…
Imported from OpenNeuro ds003645
…between fMRI and EEG data features across different sessions within the same…
This dataset comprises EEG recordings from a visual working memory task presented in virtual reality, where participants remembered object details cued by either a social (avatar) or non-social (stick) agent. The study investigates how social versus non-social cues modulate neural signatures of working memory, with cue validity (congruent vs. incongruent) manipulated across trials. Raw and preprocessed EEG data are provided alongside behavioral performance metrics and detailed event codes for memory encoding, maintenance, and retrieval phases.
…Physiologically-grounded features - **Real-time prediction**: Low-latency gesture detection ### Applications - **Grid…