on004121
BCIT Mind Wandering
EEG
…periods of driver fatigue via predictive algorithms formulated from the analysis of…
- Participants
- 21
- Channels
- 64 (10-10)
- HED
- v8.0.0
- Size
- 23.9 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "predictive processing" · page 4 of 10 · ranked by relevance
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- on006370
Memory Reactivation Levels Remain Unaffected by Anticipated Interference Experiment 2 Dataset
EEGThis dataset contains EEG recordings from Experiment 2 of a study investigating whether memory reactivation levels are affected by anticipated interference during a dual-task paradigm. Participants performed a visual working memory task with varying cognitive load (single vs. dual task conditions), where they memorized lateral objects and later identified them among probes, with half the blocks including distractor identification tasks. The dataset includes raw EEG data collected during this experiment. For preprocessing details, see the related preprint and OSF repository listed in related_identifiers.
- Participants
- 56
- Channels
- 30 (10-10)
- Size
- 40.1 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000243
BNCI 2016-002 Emergency Braking during Simulated Driving dataset
EEG…Baseline correction using first 100 ms. ## Signal Processing - **Classifiers**: RLDA, Regularized Linear…
- Participants
- 15
- Citations
- 81
- HED
- v8.4.0
- Size
- 4.01 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on002158
Disentangling the origins of confidence in speeded perceptual judgments through multimodal imaging
ANAT EEG FMAP FUNCThis multimodal neuroimaging dataset investigates the neural mechanisms of metacognition—the ability to assess decision confidence—by isolating postdecisional from decisional contributions. Healthy volunteers performed perceptual judgments and observed decisions while reporting confidence, with concurrent electroencephalography and functional magnetic resonance imaging recordings. The study reveals dissociable neural correlates of confidence in prefrontal regions and proposes a computational model explaining how decision commitment enhances metacognitive performance.
- Participants
- 20
- Size
- 423 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005558
Categorized Free Recall with Closed-Loop Stimulation at Encoding (Encoding Classifier)
BEH iEEG[. Participants performed a virtual courier task delivering items across a town, followed by recall testing. The experiment comprised two phases: read-only sessions for generating classifier training data, and closed-loop sessions where stimulus presentation timing was optimized based on real-time neural predictions of memory encoding. The dataset supports investigation of spatial memory dynamics and the efficacy of classifier-based closed-loop stimulation for memory enhancement.
- Participants
- 34
- Channels
- 128 (biosemi)
- Size
- 1.30 TB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000112
FACED - Finer-grained Affective Computing EEG Dataset
EEG- Participants
- 123
- Channels
- 32 (10-10)
- Citations
- 98
- Size
- 35.2 GB
- Version
- v1.1.3
- Updated
- Jul 10, 2026
- on004865
pyFR: Delayed Free Recall of Word Lists, Preliminary Cognitive Electrophysiology Study
BEH iEEGThis dataset comprises behavioral and intracranial electrophysiological recordings from a delayed free recall task conducted across multiple clinical sites. Participants studied visually presented word lists, performed arithmetic distractor tasks, and subsequently engaged in free recall. The study represents a preliminary cognitive electrophysiology investigation by the Computational Memory Lab at the University of Pennsylvania, serving as a foundational dataset for subsequent free recall and categorical free recall studies.
- Participants
- 49
- Size
- 97.8 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000153
Langer et al. 2017 — Multimodal Resource for Studying Information Processing in the Developing Brain (MIPDB)
EEG…a multimodal resource for studying information processing in the developing brain (EEG…
- Size
- 110 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on007162
Adaptive recruitment of cortex-wide recurrence for visual object recognition (EEG)
EEGThis EEG dataset contains neural recordings from 34 participants performing a visual object recognition task using a curated stimulus set of 242 images (121 challenge and 121 control images). Participants viewed sequences of 14 images presented for 200 ms each with 100 ms interstimulus intervals and performed a detection task. The dataset includes time-resolved decoding analyses examining adaptive recruitment of cortical recurrence mechanisms during visual object recognition.
- Participants
- 34
- Channels
- 63 (10-10)
- Size
- 59.6 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026