Munich Motor Imagery dataset
- Participants
- 10
- Channels
- 128 (other)
- HED
- v8.4.0
- Size
- 5.42 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
100 results for "semantic processing" · page 4 of 10 · ranked by relevance
…word generation and word selection * Semantic similarity measures between consecutive words ## Experimental…
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.
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.
…dynamics inherent in visual cognitive processing. To address this limitation, we extended…
…The word lists in this paradigm follow a specific semantic construction. Each…
This dataset comprises neuroimaging data from a logical reasoning study conducted by the Cognitive and Computational Neuroscience Laboratory. The study investigates neural correlates of logical reasoning processes through multimodal brain imaging. Data were collected and organized according to BIDS standards for reproducibility and accessibility. This dataset is a NEMAR mirror of the OpenNeuro dataset ds003483.
…Low-frequency cortical entrainment to speech reflects phoneme-level processing. Current Biology…
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.
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005565-blue…