BCCWJ-EEG
…Eelbrain, a Python toolkit for time-continuous analysis with temporal response functions…
- Participants
- 41
- Channels
- 64 (10-10)
- Citations
- 1
- Size
- 89.1 GB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
100 results for "continuous feedback processing" · page 9 of 10 · ranked by relevance
…Eelbrain, a Python toolkit for time-continuous analysis with temporal response functions…
A single-pulse transcranial magnetic stimulation (TMS) combined with electroencephalography (EEG) dataset acquired in open-loop configuration. This dataset provides concurrent TMS-EEG recordings suitable for investigating cortical responses to magnetic stimulation and characterizing brain reactivity to non-invasive neuromodulation. The dataset comprises recordings from multiple subjects across multiple sessions with concurrent TMS-EEG acquisition.
…auditory oddball task (continuous recording during the entire task block) For the…
This dataset comprises high-density, dual-layer EEG, neck EMG, IMU acceleration, T1-weighted structural MRI, and video recordings from 25 participants performing real-world table tennis. Participants engaged in 60 minutes of table tennis play with a ball machine and a human opponent, along with 10 minutes of standing baseline recording. The dataset supports investigation of neural and physiological correlates of natural, whole-body motor behavior during a dynamic real-world sport task.
This dataset comprises stereoelectroencephalography (sEEG) recordings from patients performing a forced two-choice response task, collected in the epilepsy monitoring unit at Oregon Health & Science University. The data extends characterization of movement-related neural oscillations using intracranial electrode recordings, providing insights into canonical motor-related activity patterns across distributed brain regions.
…laboratory Online feedback: False Tags ---- Pathology: Healthy Modality: EEG Type: Resting State…
…1 calibration run (no feedback, no distraction) + 6 feedback runs with different…
HAD-MEEG is a magnetoencephalography (MEG) and electroencephalography (EEG) dataset recorded from 30 participants viewing 21,600 video clips spanning 180 categories of human action, extending the previously released Human Action Dataset (HAD) fMRI resource. It was collected in the same participants and with the same stimuli as HAD-fMRI to enable combined spatiotemporal investigation of neural mechanisms underlying human action recognition. The dataset leverages the millisecond-level temporal resolution of M/EEG to complement the spatial precision of fMRI.
…Speed Control A was 45 minutes of continuous driving, with subjects responsible…
…predictive) **Dependent variables:** Reaction times to perturbations, continuous performance based on vehicle…