Evidence accumulation relates to perceptual consciousness and monitoring
…left hemisphere from the premotor cortex to the superior parietal lobule. The…
- Participants
- 19
- Channels
- 69 (10-10)
- Size
- 27.9 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
90 results for "intraparietal cortex" · page 8 of 9 · ranked by relevance
…left hemisphere from the premotor cortex to the superior parietal lobule. The…
Imported from OpenNeuro ds007181
…stimuli in the subcortex and cortex, entitled "The auditory brainstem response to…
This magnetoencephalography (MEG) dataset investigates neural object representations during dynamic visual occlusion. Participants viewed objects that were either occluded or disappeared while their neural activity and eye movements were recorded. The dataset includes raw MEG data, behavioral responses, eye-tracking recordings, and preprocessed neural signals epoched relative to stimulus onset and position changes, enabling investigation of how the brain maintains object representations under conditions of visual disruption.
…Wolff & Brechmann, Cerebral Cortex, 2023) because of the copyright policy of OpenNeuro…
This dataset contains raw MEG recordings, anatomical T1-weighted MRI scans, and behavioral data from an audiovisual speech memory study. Participants performed a three-phase task involving encoding of audiovisual speech movies with synchrony judgments, a distractor task, and retrieval of speech memories cued by speaker faces. The study investigates how neocortical and hippocampal theta oscillations support audiovisual integration and memory replay of speech information.
…sensitivity of the primary visual cortex to transient changes in low-level…
…A Null Finding (https://doi.org/10.1016/j.cortex.2024.05…
This magnetoencephalography (MEG) dataset comprises neuroimaging data collected to establish standardized protocols for cross-site pooling of MEG data. The dataset demonstrates the application of BIDS formatting to MEG neuroimaging, facilitating data harmonization and reproducible analysis across multiple research institutions.
MEG-MASC is a high-quality magnetoencephalography dataset comprising raw MEG recordings from 27 English speakers listening to approximately two hours of naturalistic stories from the Manually Annotated Sub-Corpus (MASC). The dataset includes precise temporal annotations of word and phoneme onsets/offsets, organized according to the Brain Imaging Data Structure (BIDS) standard. This benchmark dataset enables large-scale encoding and decoding analyses of neural responses to natural speech processing, with accompanying code for validation analyses including temporal decoding of phonetic features and word frequency effects.