Learning from label proportions for a visual matrix speller (ERP)
- Participants
- 13
- Citations
- 47
- Size
- 5.14 GB
- Version
- v1.0.0
- Updated
- Jun 2, 2026
69 results for "neurocognition" · page 2 of 7 · ranked by relevance
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.
The YOTO (You Only Think Once) dataset is a human electroencephalography resource comprising high-resolution EEG recordings from 20 participants performing multisensory perception and mental imagery tasks. Signals were acquired at 1000 Hz sampling rate during exposure to unimodal (visual and auditory) and multimodal stimuli, with participants providing subjective vividness ratings. Technical validation through event-related potentials and power spectral density analyses confirmed distinct neural responses across stimulus conditions, supporting applications in neural decoding, perception, and cognitive modeling.
2417 clinical EEG recordings, 19-ch 10-20 montage, normal/abnormal labels. EDF format. Zenodo DOI:10.5281/zenodo.10909103
This dataset comprises 64-channel EEG recordings from 62 participants (31 pairs) engaged in a computerized Rock-Paper-Scissors game consisting of 480 competitive trials. The study investigates neural mechanisms underlying competitive decision-making through multivariate decoding approaches, with recordings lasting approximately one hour per session. The dataset supports investigation of brain activity patterns associated with strategic gameplay and interpersonal competition.
An EEG study investigating the effects of episodic future thinking on temporal discounting behavior. Participants generated descriptions of future events and subsequently used mental imagery of these events as cues during intertemporal choice tasks, with concurrent measurement of imagery vividness. This dataset provides neurophysiological recordings during decision-making processes influenced by prospective cognition.
This dataset contains neural recordings investigating the brain's representation of consciously perceived versus unconsciously processed visual information. The study examines how neural activity differs when identical visual stimuli are either consciously seen or remain outside conscious awareness, providing insights into the neural correlates of consciousness and visual perception.
Imported from OpenNeuro ds003190
This dataset comprises electroencephalography (EEG) recordings from 7 participants performing an auditory imagery task, wherein subjects imagined sounds produced by objects from semantic categories (animals and tools) for 5-second intervals. EEG signals were acquired using a 64-channel BioSemi ActiveTwo system sampled at 2048 Hz, with concurrent electrooculography and physiological monitoring. The dataset supports research in semantic decoding and brain-computer interface applications using imagined auditory stimuli.
This event-related potentials (ERP) study investigates cognitive conflict during moral judgment of accidental harm using EEG recordings from 31 participants. Participants performed a combined semantic and moral judgment task, evaluating scenarios involving intentional or accidental harm while making congruency judgments about target words. The orthogonal manipulation of agent intention and semantic congruency across four conditions enables examination of how moral and semantic processing interact in the brain.