on005557
Free Recall with Closed-Loop Stimulation at Encoding (Encoding Classifier)
BEH iEEG Zarr
…This dataset is a closed-loop stimulation version of the [FR1](https…
- Participants
- 18
- Size
- 34.7 GB
- Version
- v1.0.0
- Updated
- Jun 27, 2026
Discover datasets
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- on004706
Spatial memory and non-invasive closed-loop stimulus timing
BEH EEG Zarr…memory dynamics in closed-loop sessions are potentially influenced by the closed…
- Participants
- 34
- Channels
- 128 (biosemi)
- Citations
- 6
- Size
- 1.30 TB
- Version
- v1.0.0
- Updated
- Jun 25, 2026
- on005558
Categorized Free Recall with Closed-Loop Stimulation at Encoding (Encoding Classifier)
BEH iEEG Zarr…This dataset is a closed-loop stimulation version of the [catFR1](https…
- Participants
- 9
- Size
- 12.2 GB
- Version
- v1.0.0
- Updated
- Jun 27, 2026
- nm000315
Shin2022: Closed-loop 1D left/right motor imagery EEG dataset (live recordings)
EEG…Closed-loop 1D left/right (LR) center-out SMR cursor control. Left…
- Participants
- 10
- Channels
- 16 (other)
- HED
- v8.4.0
- Size
- 879 MB
- Version
- v1.0.0
- Updated
- Oct 8, 2026
- on002094
Single-pulse open-loop TMS-EEG dataset
EEG Zarr[
- Size
- 39.4 GB
- Version
- v1.0.0
- Updated
- Jun 21, 2026
- on005489
Free Recall with Open-Loop Stimulation at Encoding
BEH iEEG Zarr…This dataset is an open-loop stimulation version of the [FR1](https…
- Participants
- 38
- Size
- 64.9 GB
- Version
- v1.0.0
- Updated
- Jun 27, 2026
- on005491
Categorized Free Recall with Open-Loop Stimulation at Encoding
BEH iEEG Zarr…Categorized Free Recall with Open-Loop Stimulation at Encoding #### Description This dataset…
- Participants
- 19
- Size
- 22.5 GB
- Version
- v1.0.0
- Updated
- Jun 27, 2026
- nm000220
BEETL Competition 2021 Motor Imagery Dataset A — transfer learning benchmark
EEG Zarr…evaluating transfer learning and domain adaptation methods across heterogeneous EEG datasets and…
- Participants
- 3
- Channels
- 63 (10-10)
- HED
- v8.4.0
- Size
- 2.17 GB
- Version
- v1.0.6
- Updated
- Aug 20, 2026
- on007162
Adaptive recruitment of cortex-wide recurrence for visual object recognition (EEG)
EEG ZarrThis dataset contains EEG recordings from 34 participants (one session each) who viewed 242 object images, 121 challenge and 121 control images, selected from comparisons between human behavioural performance and AlexNet. The study examines adaptive recruitment of cortex-wide recurrent processing during visual object recognition. The derivatives folder contains outputs of the decoding analyses, including time-resolved decoding accuracy matrices for object identity (.npz).
- Participants
- 34
- Channels
- 63 (10-10)
- Citations
- 2
- Size
- 61.2 GB
- Version
- v1.0.0
- Updated
- Jun 30, 2026
- on006065
TSS_iEEG
iEEG Zarr…data from **7 participants** undergoing closed-loop stimulation as part of a…
- Participants
- 7
- Size
- 9.63 GB
- Version
- v1.0.0
- Updated
- Jun 28, 2026