on003655
VerbalWorkingMemory
EEG
…with mental manipulations (alphabetization) and simple retention (TASK) and 3 levels of…
- Participants
- 156
- Channels
- 19 (10-20)
- Citations
- 24
- Size
- 20.3 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
10 results for "alphabetization" · ranked by relevance
-
- on005594
Alphabetic Decision Task (Arial Light Font)
EEGThis dataset contains EEG recordings from an alphabetic decision task using stimuli presented in the Arial Light font, collected to investigate sub-letter orthographic processing. It provides raw electrophysiological and behavioural data intended to support modeling of visual word recognition using optimal transport approaches. The dataset was collected at Goethe University and is derived from a related source dataset.
- Participants
- 16
- Channels
- 64 (10-10)
- Citations
- 4
- Size
- 10.9 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on002712
Numbers and Letters
ANAT BEH MEGThis dataset contains neuroimaging data from an experiment investigating the neural processing of numbers, letters, and false fonts presented as single items or strings. The study employs event-related experimental design with two runs, each utilizing distinct stimulus categories marked by specific trigger codes to enable precise temporal analysis of brain responses to different visual stimuli. Data were acquired using magnetoencephalography (MEG).
- Participants
- 25
- Size
- 310 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004809
Categorized Free Recall: Delayed Free Recall of Word Lists Organized by Semantic Categories
BEH iEEGThis dataset comprises behavioral events and intracranial electrophysiological recordings from a categorized free recall task conducted across multiple clinical sites. Participants studied semantically organized word lists (12 items from 3 categories with paired exemplars), performed a distractor task, and freely recalled the words. The dataset includes monopolar and bipolar iEEG recordings with electrode localization information, supporting investigations of memory encoding and retrieval processes.
- Participants
- 258
- Citations
- 1
- Size
- 477 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005415
Numbers
ANAT BEH iEEGThis dataset comprises stereoelectroencephalography (sEEG) recordings from epilepsy patients undergoing monitoring for seizure activity at Oregon Health & Science University. During monitoring, patients were presented with auditory and visual numerical stimuli that were either symbolic (Arabic numerals and spoken numbers) or non-symbolic (dot arrays and beeps), enabling investigation of numerical cognition and its neural representations in intracranial recordings.
- Participants
- 13
- Size
- 13.5 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on003703
Frequency Tagging of Syntactic Structure or Lexical Properties
MEGThis dataset comprises electroencephalography (EEG) recordings investigating the neural correlates of syntactic structure and lexical properties using frequency tagging methodology. Participants were presented with linguistic stimuli while EEG activity was recorded to identify frequency-specific neural responses associated with different linguistic features. The dataset provides raw neurophysiological data suitable for studying the temporal dynamics of language processing at the neural level.
- Participants
- 34
- Citations
- 1
- Size
- 195 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004951
Braille letters - EEG
EEGThis dataset contains raw EEG recordings from participants performing a Braille letter discrimination task, in which Braille letters were presented to the left and right index fingers via Braille cells. The data were collected to investigate the transformation of sensory to perceptual representations of Braille letters in the visually deprived brain. Recordings were made using BrainVision hardware and are organized following the BIDS-EEG standard. For some participants, EEG recording was stopped and restarted within a session, resulting in separate runs, and some participants completed a second session.
- Participants
- 11
- Channels
- 63 (10-10)
- Citations
- 4
- Size
- 22.0 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- nm000161
BNCI 2024-001 Handwritten Character Classification dataset
EEG Zarr verifiedThis dataset comprises EEG recordings from 20 healthy participants performing motor imagery of handwritten letter production. Participants imagined writing ten different letters (a, d, e, f, j, n, o, s, t, v) using their right index finger in response to visual cues. The study investigates brain-computer interface applications through direct EEG classification and continuous kinematic decoding approaches, achieving classification accuracies of 26.2% for ten-letter and 46.7% for five-letter tasks.
- Participants
- 20
- Channels
- 60 (10-10)
- Citations
- 12
- HED
- v8.4.0
- Size
- 27.0 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- on005095
STERNBERG DIFFICULT
EEGThis dataset contains raw EEG recordings from participants performing a Sternberg working memory task with Russian alphabet letters presented in varying set sizes (3, 6, 9, 12, and 15 letters). Participants' Raven Progressive Standard Matrices scores are also included, allowing investigation of the relationship between working memory load and cognitive ability. The dataset supports research on encoding, retention, and retrieval processes in verbal working memory using EEG.
- Participants
- 48
- Channels
- 63 (10-10)
- Citations
- 2
- Size
- 14.3 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on004483
ABSeqMEG
MEGThis dataset contains MEG recordings from a study investigating how the human brain compresses regular binary sound sequences in working memory, testing the language of thought hypothesis. Participants listened to hierarchically structured sequences of two sounds varying in complexity, quantified via minimal description length, while occasional deviant sounds probed their internalized knowledge of sequence structure. The study aimed to characterize how brain activity relates to sequence complexity and predictive processing.
- Participants
- 19
- Citations
- 5
- Size
- 23.4 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026