on007655
MorseEEG-ATP
BEH EEG
…It may also be useful for benchmarking EEG analysis and neural decoding…
- Participants
- 32
- Channels
- 62 (10-10)
- Size
- 14.6 GB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
Discover datasets
100 results for "Neural decoding" · page 6 of 10 · ranked by relevance
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- 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
- on004995
The Time-Course of Food Representation in the Human Brain
EEG[ recordings collected to investigate the relationship between auditory streaming—the perceptual organization of sound sequences—and interoceptive awareness. The study examines how the brain processes complex auditory stimuli and integrates this information with internal bodily signals, contributing to our understanding of sensory integration and conscious perception.
- Participants
- 22
- Channels
- 1 (other)
- Size
- 7.25 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000232
THINGS-EEG2: A large and rich EEG dataset for modeling human visual object recognition
EEGTHINGS-EEG2 is a large-scale EEG dataset comprising recordings from 10 subjects viewing 16,540 distinct training images and 200 test images presented via rapid serial visual presentation at 5 Hz. The dataset includes 63-channel EEG data sampled at 1000 Hz across 4 sessions per subject, with approximately 32,540 training trials and 16,000 test trials, designed to support computational modeling of human visual object recognition. Stimuli are drawn from the THINGS database, and the dataset includes resting-state recordings and behavioral annotations for each trial.
- Participants
- 10
- Channels
- 63 (10-10)
- Citations
- 82
- Size
- 198 GB
- Version
- v1.1.0
- Updated
- Jul 10, 2026
- nm000195
Mixture of LLP and EM for a visual matrix speller (ERP) dataset from
EEG…Brain State Decoding Lab - **Address**: Brain State Decoding Lab, University of Freiburg…
- Participants
- 12
- Channels
- 31 (10-10)
- Citations
- 26
- HED
- v8.4.0
- Size
- 4.81 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- on007895
Auditory Streaming and Interoception
EEGThis dataset comprises auditory neurophysiological recordings investigating the relationship between auditory streaming perception and interoceptive awareness. Participants engaged in auditory tasks while electrophysiological signals were recorded, enabling examination of how the brain processes complex auditory scenes and integrates bodily state information during perceptual organization.
- Participants
- 22
- Channels
- 1 (other)
- Size
- 7.25 GB
- Version
- v1.0.0
- Updated
- Jul 22, 2026
- nm000249
BNCI 2022-001 EEG Correlates of Difficulty Level dataset
EEG…EEG, real-time decoding of difficulty, closed-loop adaptation, (simulated) flying, workload…
- Participants
- 13
- Channels
- 64 (10-10)
- Citations
- 26
- HED
- v8.4.0
- Size
- 9.42 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026