on005691
SpinalExpect_Invasive
iEEG
…The goal was to reveal whether temporal expectation influences initial sensory processing…
- Participants
- 8
- Size
- 722 MB
- Updated
- Jul 10, 2026
Discover datasets
100 results for "contextual processing" · page 6 of 10 · ranked by relevance
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- on004194
Visual ECoG dataset
ANAT iEEGThis dataset comprises intracranial EEG recordings from 14 epilepsy patients implanted with clinical surface and depth electrodes, collected during visual stimulation tasks between 2017-2020. Participants viewed grayscale patterns with varied spatial and temporal properties, as well as color images from six semantic categories, while performing a fixation task. The dataset includes raw voltage data, common-average-referenced recordings, broadband responses, preprocessed epochs, and surface reconstructions with electrode localizations, enabling investigation of neural dynamics in human visual cortex.
- Participants
- 14
- Size
- 57.9 GB
- Version
- v1.0.0
- Updated
- Jul 22, 2026
- on005540
EmoEEG-MC: A Multi-Context Emotional EEG Dataset for Cross-Context Emotion Decoding
BEH EEGEmoEEG-MC is a multi-context emotional EEG dataset comprising 64-channel EEG and peripheral physiological recordings from 60 participants exposed to video-induced and imagery-induced emotional stimuli across seven emotion categories (joy, inspiration, tenderness, fear, disgust, sadness, and neutral). This dataset addresses the critical gap in cross-context emotion decoding by enabling investigation of how emotional neural responses generalize across different elicitation contexts, with demonstrated classification accuracies of 66.7% for binary emotion classification and 28.9% for seven-category emotion classification using machine learning approaches.
- Participants
- 60
- Channels
- 64
- Size
- 70.4 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006866
Discrepancy between self-report and neurophysiological markers of socio-affective responses in lonely individuals
EEG…10.82901/nemar.on006866) # Emotion Processing and Regulation Task (Static Stimuli) — EEG…
- Participants
- 148
- Channels
- 69 (10-10)
- Size
- 118 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004200
Temporal Scaling
BEH EEGThis dataset comprises behavioral and neuroimaging data from twenty participants who learned to produce and perceive three distinct temporal intervals through interleaved production and perception tasks. Participants either produced temporal intervals or judged computer-generated intervals as correct or incorrect, receiving visual feedback. The study investigates temporal cognition and interval learning mechanisms.
- Participants
- 20
- Channels
- 37 (10-10)
- Size
- 7.21 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006629
SINGSING
MEG…Pre-attentive Pitch Processing of Harmonic Complex Sounds at Sensor and Source…
- Participants
- 19
- Size
- 10.6 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004011
The nature of neural object representations during dynamic occlusion
BEH MEGThis magnetoencephalography (MEG) dataset investigates neural object representations during dynamic visual occlusion. Participants viewed objects that were either occluded or disappeared while their neural activity and eye movements were recorded. The dataset includes raw MEG data, behavioral responses, eye-tracking recordings, and preprocessed neural signals epoched relative to stimulus onset and position changes, enabling investigation of how the brain maintains object representations under conditions of visual disruption.
- Participants
- 27
- Size
- 258 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on007558
EEG Pre/Post Intervention Dataset
EEG…accompanying JSON sidecar files. ## Data Processing The dataset has been reorganized into…
- Participants
- 67
- Channels
- 19 (10-20)
- Size
- 685 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on003392
NeuroSpin hMT+ Localizer DATA (MEG & aMRI)
ANAT MEG…Supramodal processing optimizes visual perceptual learning and plasticity. Neuroimage, 93, 32-46…
- Participants
- 12
- Size
- 10.1 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004105
BCIT Auditory Cueing
EEGThe BCIT Auditory Cueing dataset comprises EEG, eye-tracking, and vehicle performance data collected during a prolonged simulated driving task designed to assess driver fatigue and cognitive state. Subjects performed two 45-minute driving conditions with either random or predictive auditory cues preceding lateral vehicle perturbations, while continuous measurements of steering behavior, reaction times, and subjective fatigue scales were recorded. This dataset extends prior driving research by examining the relationship between neural biomarkers and fatigue-related performance decrements in a controlled, high-frequency perturbation environment.
- Participants
- 17
- Channels
- 64 (10-10)
- HED
- v8.0.0
- Size
- 20.4 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026