BCIAUT-P300 dataset for autism from Simoes et al 2020
…P300 BCI joint-attention training in virtual environment; 8 flashing objects; 15…
- Participants
- 15
- Channels
- 8 (10-10)
- Citations
- 67
- HED
- v8.4.0
- Size
- 9.33 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
100 results for "visual spatial attention" · page 9 of 10 · ranked by relevance
…P300 BCI joint-attention training in virtual environment; 8 flashing objects; 15…
[ and eye-tracking data collected from 111 participants spanning childhood to adulthood. Participants completed a standardized battery of cognitive and perceptual tasks including resting state, surround suppression, naturalistic viewing, contrast-change detection, sequence learning, and symbol search. This dataset enables investigation of information-processing maturation across human development.
…word_association, mental_subtraction, spatial_navigation, right_hand_imagery, feet_imagery - **Study…
This dataset provides complementary EEG recordings, obtained under photic stimulation with eyes open, from a cohort of individuals with Alzheimer's disease, frontotemporal dementia, and healthy controls previously described in a related open-eyes-closed EEG dataset. Recordings were collected at incremental photic stimulation frequencies (5-30 Hz) at the 2nd Department of Neurology, AHEPA University Hospital, Thessaloniki, Greece, using a 19-channel clinical EEG system. The dataset includes both raw and preprocessed (denoised) EEG data, intended to support research on neurodegenerative disease biomarkers and cognitive decline.
…Beamforming, brain-computer interfaces, common spatial patterns, electroencephalography, motor imagery, spatial filtering…
This dataset contains 128-channel EEG recordings from 20 observers (19 included in final analysis) viewing object images at 3.33 Hz to investigate how contextual associations, perceptual attributes, and conceptual properties of objects are represented in neural activity. One participant was excluded due to a technical error in EEG recording. Time-resolved neural decoding was applied to disentangle these distinct representational dimensions from the EEG signals.
…Participants drove a visually monotonous night-time straight four-lane divided highway…
…which provides high spatial resolution to characterize spatial representation patterns but is…
This dataset comprises EEG recordings from a visual working memory task presented in virtual reality, where participants remembered object details cued by either a social (avatar) or non-social (stick) agent. The study investigates how social versus non-social cues modulate neural signatures of working memory, with cue validity (congruent vs. incongruent) manipulated across trials. Raw and preprocessed EEG data are provided alongside behavioral performance metrics and detailed event codes for memory encoding, maintenance, and retrieval phases.