NOD-EEG
…increasingly employed to elucidate these neural mechanisms of object recognition across these…
- Participants
- 19
- Channels
- 62 (10-10)
- Size
- 24.3 GB
- Version
- v1.0.0
- Updated
- Jul 22, 2026
100 results for "neural recording" · page 9 of 10 · ranked by relevance
…increasingly employed to elucidate these neural mechanisms of object recognition across these…
This dataset comprises EEG recordings and concurrent vocal audio from participants performing an overt speech production task. Participants vocalized visually presented text while EEG activity was recorded, providing multimodal neuroimaging data for brain decoding research. The dataset includes raw EEG data in EDF format and behavioral recordings of vocal output, organized according to BIDS conventions with preprocessing code and derivatives.
This dataset comprises intracranial electrophysiological recordings and behavioral data from a delayed free recall task with open-loop electrical brain stimulation during encoding. Participants studied visually presented word lists, performed distractor arithmetic tasks, and freely recalled words while stimulation was delivered to hippocampal and entorhinal cortex electrodes. The study involved 25 participants across multiple clinical sites, with 20 of 25 lists per session receiving open-loop stimulation on alternating word pairs.
[ recordings from 27 participants during a movie memory recognition task. Participants viewed 10-second film clips previously watched and indicated recognition and memory status, with recognized clips replayed to capture temporal annotations of memory cues. The study investigates neural correlates of video memorability using high-density EEG acquisition.
The Brain, Body, and Behaviour Dataset - Experiment 3 is a multimodal neurophysiological dataset comprising 29 subjects across 2 sessions designed to investigate the effects of attentional state on learning from educational videos. Participants watched six educational videos under two conditions: attentive (with post-video testing) and distracted (with concurrent cognitive load), while simultaneous recordings of brain activity, cardiovascular function, eye movements, and head motion were collected. The dataset includes concurrent EEG, ECG, EOG, gaze tracking, pupil size, and head position data, along with behavioral measures including memory questionnaires and ADHD symptom assessments.
…These tasks, which are publicly available, were optimized to capture neural activity…
This dataset contains intracranial electrophysiology recordings and behavioral data from a delayed free recall task with real-time closed-loop brain stimulation during encoding. Participants studied word lists, performed distractor arithmetic tasks, and freely recalled words while an L2 logistic regression classifier trained on encoding neural features guided stimulation delivery to optimize memory performance. Data were collected across multiple clinical sites as part of a collaborative memory research initiative.
VEPCON is a multimodal neuroimaging dataset comprising high-density EEG, structural MRI, and diffusion-weighted imaging from 20 participants performing visual discrimination tasks (face vs. scrambled faces, coherent vs. incoherent motion). The dataset includes preprocessed EEG single trials, individual brain parcellations at five spatial resolutions, structural connectomes derived from diffusion data, and EEG source imaging solutions based on individual anatomy. This resource supports multimodal methods development, structure-function relationship studies, and optimization of source imaging and graph analysis techniques.
…1. **Raw EEG recordings** in EDF format with BIDS-compliant JSON sidecars…