…EEG, movement intention, ERP, BCI, stroke rehabilitation, LRP References ---------- Kueper, N., Kim…
…We recorded both EEG and eye movements. Behavioral data is split into…
…Exploration of neural correlates of movement intention based on characterisation of temporal…
…Participants listened to moral scenarios featuring either intentional or accidental harm transgressions…
A mobile EEG dataset of auditory attention from 20 participants performing a two-competing-speaker paradigm. Participants either sat on a chair or walked an indoor route while attending to one of two speakers. Salient environmental events presented from in front of the participant were used to disrupt attention, allowing neural tracking of speech to be studied in realistic, mobile conditions.
…J., “Changes in music tempo entrain movement related brain activity”, in Proc…
A multimodal mobile brain/body imaging dataset from 32 young adults walking over uneven terrain at different speeds. It includes high-density dual-layer EEG, neck EMG, IMU acceleration, ground reaction forces, and head models built from T1-weighted MR images. Each participant also completed a seated rest trial, and digitized electrode locations are provided for every subject.
…material each video was presented - **Intentional Learning**. We tested 6 informational video…
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005397-blue…
This dataset contains raw neuroimaging recordings collected with the Visual Attribute-Specific Contextual Trajectory Paradigm 2.0. The paradigm is used to study how the brain generates domain-general visual surprise signals and how their latency depends on the visual attribute that is violated. It accompanies a pre-print on attribute-dependent latency of visual surprise signals.