somatomotor
…org/10.82901/nemar.on006035) Accession: #: ds006035 Description: Multi-subject, multi-modal…
- Participants
- 5
- Size
- 3.07 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
100 results for "lexical access" · page 9 of 10 · ranked by relevance
…org/10.82901/nemar.on006035) Accession: #: ds006035 Description: Multi-subject, multi-modal…
This dataset quantifies the impact of hair and skin characteristics on functional near-infrared spectroscopy (fNIRS) signal quality, with a focus on enhancing inclusivity in neuroimaging research. The study examines how individual physiological variations affect fNIRS measurements across diverse participant populations, providing empirical evidence for optimizing signal acquisition and preprocessing in this neuroimaging modality.
…detection For their ease of accessibility and low cost, current Brain-Computer…
This dataset contains EEG and eye-tracking recordings from 30 participants who searched for objects in naturalistic scenes and intentionally memorized others, followed by a surprise recognition memory test. The study examines the 'search superiority effect,' testing whether incidentally encoded memories differ qualitatively from intentional ones through recollection and familiarity processes indexed by FN400 and late parietal ERP components. Behavioral remember-know judgments and ROC analyses were used alongside EEG measures to disentangle these memory processes.
This dataset comprises electroencephalography (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.
This dataset comprises intracranial EEG recordings and behavioral events from a categorized free recall task with closed-loop electrical stimulation applied during encoding. Participants studied word lists organized by semantic category, performed arithmetic distractor tasks, and freely recalled words, while a classifier trained on prior encoding data determined stimulation delivery based on predicted memory encoding success. Data were collected across multiple clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania, as part of the DARPA Restoring Active Memory (RAM) project.
A multimodal neuroimaging dataset combining EEG, eye-tracking, and high-speed video recordings from 31 healthy participants performing motor imagery and motor execution tasks. The dataset comprises 2,520 trials across 63 sessions with 64-channel EEG recordings at 1000 Hz sampling rate, focusing on left and right hand grasping imagery. This resource supports the development and benchmarking of brain-computer interface (BCI) systems for motor control applications.
…Event times were recorded with a photodiode, which is accessible as a…
…and experimental protocol. ## How to Access via MOABB Install MOABB and load…
This dataset presents multimodal simultaneous fMRI/EEG data collected from participants performing an auditory category learning task, alongside resting-state fMRI scans. Each dataset includes 63-channel EEG with additional ECG, EOG, facial EMG, and skin conductance recordings, a physiological file capturing respiration and finger-pulse signals, and structural MRI (T1-weighted and PD-weighted UTE) scans for anatomical reference and electrode localization. Collected at the Combinatorial NeuroImaging core facility of the Leibniz Institute for Neurobiology, the data support research into multi-dimensional auditory category learning and its neural correlates.