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This dataset comprises neuroimaging data from a logical reasoning study conducted by the Cognitive and Computational Neuroscience Laboratory. The study investigates neural correlates of logical reasoning processes through multimodal brain imaging. Data were collected and organized according to BIDS standards for reproducibility and accessibility. This dataset is a NEMAR mirror of the OpenNeuro dataset ds003483.

Participants

21

Size

68.3 GB

Version

v1.0.0

Updated

Jul 10, 2026

This derivative dataset contains processed MEG data from a study investigating the neural mechanisms of model-based aversive learning in humans. The research examines how task state representations are preferentially reactivated during aversive learning, providing insights into the computational and neural basis of threat-related decision-making and learning processes.

Participants

28

Size

302 GB

Version

v1.0.0

Updated

Jul 22, 2026

This magnetoencephalography (MEG) dataset investigates the differential neural mechanisms underlying selection and maintenance of information during working memory tasks. Data from 22 participants include MEG recordings across two sessions, structural MRI, and detailed behavioral measures from a working memory task and a one-back control task involving visual Gabor stimuli. The dataset supports investigation of how the brain selectively maintains task-relevant information while filtering distractions.

Participants

22

Size

168 GB

Version

v1.0.0

Updated

Jul 10, 2026

Imported from OpenNeuro ds003343

Participants

20

Channels

16 (10-10)

Citations

1

Size

663 MB

Version

v1.0.0

Updated

Jul 10, 2026

This dataset contains EEG recordings from an ERP priming study investigating neural associations between fingerspelling, print, and signs in deaf readers. Participants viewed prime-target pairs consisting of English words, ASL signs, or fingerspelled words followed by English word targets, allowing examination of cross-modal semantic priming effects. The study was conducted at San Diego State University's NeuroCognition Laboratory.

Participants

24

Channels

32 (10-10)

Size

2.62 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset comprises event-related potential (ERP) recordings from 13 healthy subjects performing a visual matrix speller task using a calibrationless brain-computer interface approach. The study introduces learning from label proportions (LLP), an unsupervised classification method that exploits known target/non-target stimulus ratios to enable online BCI operation without prior calibration. Subjects performed copy-spelling tasks using a 6×7 character grid across three sessions, achieving 84.5% character accuracy without labeled training data.

Participants

13

Channels

31 (10-10)

Citations

46

HED

v8.4.0

Size

5.15 GB

Version

v1.0.2

Updated

Aug 18, 2026

This dataset contains EEG recordings from an auditory oddball paradigm designed to investigate how personalized smartphone notification sounds bias auditory salience processing at different neural processing stages. The study examines attentional and perceptual effects of self-relevant notification stimuli compared to standard oddball tones. This resource enables analysis of event-related potentials associated with salience detection and personalized auditory cues.

Participants

57

Channels

64 (10-10)

Size

42.5 GB

Version

v1.0.0

Updated

Aug 18, 2026

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

This dataset contains EEG recordings from a semantic conditioning task designed to investigate how contingency awareness influences neural responses during fear conditioning. The data support analyses relating conscious awareness of stimulus contingencies to electrophysiological markers of conditioned fear responses. The dataset was collected and shared to enable reanalysis and replication of findings related to fear learning and conditioning paradigms.

Participants

81

Channels

63 (10-10)

Size

19.8 GB

Version

v1.0.0

Updated

Aug 19, 2026

This dataset contains EEG recordings from Experiment 2 of a study investigating memory reactivation under anticipated interference, using a working memory task with lateralized visual objects and dual-task distractor manipulations. Participants memorized cued objects, performed a secondary distractor identification task in some blocks, and were subsequently tested on their memory via a two-alternative forced-choice probe. The dataset is intended to examine how anticipated interference affects neural memory reactivation processes.

Participants

56

Channels

30 (10-10)

Size

40.1 GB

Version

v1.0.0

Updated

Aug 19, 2026