Visual Oddball Task (256 channels)
Imported from OpenNeuro ds002578
- Participants
- 2
- Channels
- 256 (biosemi)
- HED
- v8.0.0
- Size
- 1.33 GB
- Version
- v1.0.2
- Updated
- Jul 10, 2026
62 results for "metacognition" · page 6 of 7 · ranked by relevance
Imported from OpenNeuro ds002578
This dataset contains EEG recordings from a picture-word interference (PWI) naming study conducted at San Diego State University's NeuroCognition Laboratory. Participants named line drawings of objects preceded by semantically related, identity-related, or unrelated English distractor words, while 32-channel EEG and vocal responses were recorded. The dataset supports investigation of lexical-semantic access and word retrieval processes during picture naming.
This dataset contains EEG recordings from 146 subjects, including 98 individuals with Parkinson's disease and 48 controls, collected between 2017 and 2021. Participants performed a cross-modal oddball task involving a primary directional response cue preceded by visual and auditory pre-cues, designed to probe cognitive processing in Parkinson's disease. EEG data were recorded using a 64-channel BrainVision system.
This dataset contains behavioral events and electrophysiological recordings from a hybrid spatial-navigation and free recall experiment conducted at the University of Pennsylvania (2021-2022). 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.
This dataset comprises simultaneous EEG and fNIRS recordings from 12 participants performing semantic imagery tasks involving silent naming and sensory-based imagination of animals and tools. Participants engaged in visual, auditory, and tactile perception tasks while neural activity was captured using a 64-channel BioSemi EEG system and a NIRx fNIRS imaging system with integrated optodes. The multimodal neuroimaging data supports research in semantic decoding and brain-computer interface applications.
This dataset contains non-invasive electrophysiological recordings from the human spinal cord in 30 healthy young adults during a temporal expectation paradigm. Subjects received electric median nerve stimulation preceded by an auditory cue with either fixed or variable timing, allowing investigation of whether temporal expectation modulates initial sensory processing at the spinal level. Recordings used a specialized multi-ring electrode montage around the neck to capture spinal cord signals.
This dataset contains EEG recordings from 10 healthy adults performing a P300 speller task using a 6x6 character matrix, under two stimulus conditions (Famous Faces overlay and Inverting). Data were collected across two sessions per subject with three runs each, using a 32-channel g.tec EEG system at 256 Hz. The dataset is a BIDS-formatted derivative generated via MOABB from the original data reported in Speier et al. (2017), which compared classification approaches for the P300 speller using language models.
This dataset contains EEG recordings from twelve participants who each completed three probabilistic learning tasks involving cue-response mappings with varying feedback validity (low, high, and mixed value cues). The study investigates how average task value modulates learning and neural correlates of feedback processing. Data were collected to test computational and physiological hypotheses regarding reinforcement learning and reward valuation.
This dataset comprises EEG recordings from twenty participants performing a temporal scaling task involving learning of three temporal intervals. Two interleaved subtasks were used: a Production task, in which participants reproduced a short, medium, or long interval, and a Perception task, in which participants judged whether a computer-generated interval matched the target duration. Visual feedback (correct/incorrect) was provided after each trial in both tasks, enabling investigation of neural correlates of temporal interval learning and evaluation.
This dataset contains behavioral events and intracranial EEG recordings from a categorized free recall task with open-loop electrical stimulation applied during encoding. Participants studied semantically organized word lists, performed arithmetic distractor tasks, and then freely recalled the words. Stimulation was delivered to single electrodes in the hippocampus or entorhinal cortex during word encoding on a subset of trials, with data collected across multiple clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania.