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Magnetoencephalography (MEG) recordings from participants listening to 16-item binary sound sequences of varying complexity, used to test a language-of-thought account of compression in human working memory. Sequences were defined by minimal description length (transition probabilities, chunking, or nested structures), and occasional deviant sounds probed participants' knowledge of each sequence. The data accompany a study reporting that MEG and fMRI responses scale with sequence complexity.

Participants

19

Citations

26

Size

23.4 GB

Version

v1.0.0

Updated

Jun 24, 2026

…step in time to an auditory tone sequence and adapt their step…

Participants

20

Channels

108 (10-05)

Size

32.0 GB

Version

v1.0.0

Updated

Jun 20, 2026

The MNE-Sample-Data dataset is a simultaneous MEG and 60-channel EEG recording with an accompanying structural MRI, distributed with the MNE software. Checkerboard patterns were presented to the left and right visual fields, interleaved with tones to the left or right ear, and the subject responded to occasional smiley faces. It serves as a standard example dataset for demonstrating MEG/EEG analysis workflows, and FreeSurfer-derived anatomical surfaces are included.

Participants

2

Size

1.93 GB

Version

v1.0.0

Updated

Jun 20, 2026

…0000-0002-3694-1887 Brief overview of the tasks in the experiment…

Participants

30

Channels

24 (other)

Size

92.8 GB

Version

v1.0.0

Updated

Jun 27, 2026

…Available for all 69 participants. - `task-ldaep`: LDAEP auditory stimulation paradigm. Available…

Participants

69

Channels

64 (10-10)

Citations

1

Size

34.6 GB

Version

v1.0.0

Updated

Jun 30, 2026

EEG dataset from a picture-word interference (PWI) picture-naming experiment conducted at the NeuroCognition Laboratory at San Diego State University. Participants named line drawings preceded by English distractor words that were semantically related, identical in name, or unrelated to the picture, while EEG and verbal responses were recorded. The dataset supports investigation of the neural correlates of lexical access and semantic interference during speech production.

Participants

29

Channels

32 (10-10)

Size

2.28 GB

Version

v1.0.0

Updated

Jun 28, 2026

…10.82901/nemar.on003082) # Brainstorm - Auditory Cortex Mapping Dataset ## License This dataset…

Participants

2

Citations

1

Size

15.5 GB

Version

v1.0.0

Updated

Jun 21, 2026

…The study employed a motor imagery paradigm with auditory and visual cueing…

Participants

6

Channels

60 (10-10)

Citations

99

HED

v8.4.0

Size

1.90 GB

Version

v1.0.3

Updated

Aug 18, 2026

High-density (256-channel) electrocorticography recorded at UCSF from patients undergoing clinical treatment for epilepsy while they read aloud consonant-vowel syllables from a list. The dataset comprises 31 recording blocks across four subject codes, with hand-marked annotations of syllable identity, onset, consonant-vowel transition and offset, plus rest baseline periods and anatomical electrode labels. It supports study of the functional organization of human ventral sensorimotor cortex during speech articulation and is organized as iEEG-BIDS with source NWB files retained unchanged.

Participants

4

Size

104 GB

Version

v1.0.0

Updated

Oct 8, 2026

…Participants performed imagined speech tasks cued by auditory beeps (5 beeps at…

Participants

6

Channels

60 (10-10)

Citations

98

HED

v8.4.0

Size

1.27 GB

Version

v1.0.3

Updated

Aug 18, 2026