on003694
MEGMEM
MEG
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on003694-blue…
- Participants
- 28
- Citations
- 3
- Size
- 218 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
92 results for "memory retrieval" · page 5 of 10 · ranked by relevance
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- on004521
Changes in behavioral priority influence the accessibility of working memory content - Experiment 1
EEG…influence the accessibility of working memory content". Analytic scripts for this project…
- Participants
- 34
- Channels
- 62 (10-10)
- Size
- 10.7 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on003702
Social Memory cuing
EEG…moment that the memory targets appear s3023 Maintenance interal - i.e. moment…
- Participants
- 47
- Channels
- 59 (10-10)
- Citations
- 5
- Size
- 60.9 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
- on007629
ROAMM
BEH EEGROAMM is a large-scale multimodal dataset combining simultaneous EEG and eye-tracking recordings collected during naturalistic reading, with span-level mind-wandering annotations from 44 participants. It provides a benchmark for mind-wandering detection and EEG-to-text decoding, supporting research on attention-related degradation in language decoding from brain activity during naturalistic reading.
- Participants
- 1
- Channels
- 64 (10-10)
- Citations
- 2
- Size
- 46.6 GB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
- on007162
Adaptive recruitment of cortex-wide recurrence for visual object recognition (EEG)
EEGThis 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
- on004276
Auditory single word recognition in MEG
BEH MEGThis dataset comprises magnetoencephalography (MEG) recordings of auditory single word recognition in human subjects. Participants listened to isolated words while neural activity was recorded, providing insights into the temporal dynamics of auditory word comprehension. The dataset is described in Gaston et al. (2022) 'Auditory word comprehension is less incremental in isolated words' published in Neurobiology of Language. The dataset includes raw MEG data, stimulus information, and associated metadata organized according to the Brain Imaging Data Structure (BIDS) standard. This is a NEMAR-converted version of OpenNeuro dataset ds004276.
- Participants
- 19
- Citations
- 1
- Size
- 11.6 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on003655
VerbalWorkingMemory
EEG…in a modified Sternberg working memory paradigm with two types of task…
- Participants
- 156
- Channels
- 19 (10-20)
- Citations
- 24
- Size
- 20.3 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004520
Changes in behavioral priority influence the accessibility of working memory content - Experiment 2
EEG…influence the accessibility of working memory content". Analytic scripts for this project…
- Participants
- 33
- Channels
- 62 (10-10)
- Size
- 10.4 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on007964
Disentangling objects' contextual associations from perceptual and conceptual attributes using time-resolved neural decoding
EEGThis dataset contains 128-channel EEG recordings from 20 observers (19 included in final analysis) 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.
- Participants
- 20
- Citations
- 2
- Size
- 18.9 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026