A geometric shape regularity effect in the human brain: MEG dataset
…We propose that the perception of abstract geometric regularities engages an additional…
- Participants
- 21
- Citations
- 13
- Size
- 71.1 GB
- Version
- v1.0.0
- Updated
- Jun 28, 2026
…We propose that the perception of abstract geometric regularities engages an additional…
EEG recordings from fourteen healthy participants performing a covert spatial attention task across three sessions. The study tested real-time feedback of alpha power lateralization (α-LI) versus sham feedback in a single-blinded crossover design. It examined whether such neurofeedback leads to behavioral improvements in attention.
…denoted the onset of pain perception, 6 represented moderate pain, 8 indicated…
EEG recordings from participants performing a rapid go/nogo visual task in which briefly flashed (20 ms) natural photographs had to be either categorized (animal vs. non-animal) or recognized (a previously learned probe image). Data were collected over two recording days, in series of 100 images with equally likely target and non-target trials. The dataset supports research on the timing of visual categorization and recognition processes and on single-trial EEG dynamics.
…denoted the onset of pain perception, 6 represented moderate pain, 8 indicated…
…kurtosis-based (2x threshold), applied twice - Re-referencing to the average - ICA…
This dataset contains stereoelectroencephalography (sEEG) recordings from patients performing a forced two-choice response task in the epilepsy monitoring unit at Oregon Health & Science University. The data were analyzed in collaboration with the University of Oregon and were used to characterize movement-related oscillations in intracranial recordings. It is organized in BIDS format.
NOD-EEG is an electroencephalography dataset of human responses to naturalistic ImageNet object images. It extends the Natural Object Dataset-fMRI (NOD-fMRI) by recording EEG, and MEG in a companion dataset, from the same subjects viewing the same stimuli. Together the three modalities support study of object recognition with both high spatial and high temporal resolution. The dataset includes raw BIDS data, preprocessed continuous data, epoched data, and detailed trial-level metadata.
…2021, "The hippocampus as the switchboard between perception and memory": intracranial EEG…
EEG recordings from 24 healthy participants performing a multisensory (audio-visual) detection task. Participants detected targets embedded in simultaneous auditory and visual noise while selective attention varied. The dataset supports investigation of EEG spectral dynamics, including the spectral exponent, under changing attention and sensory statistics.