EEG Pre/Post Intervention Dataset
…accompanying JSON sidecar files. ## Data Processing The dataset has been reorganized into…
- Participants
- 67
- Channels
- 19 (10-20)
- Size
- 686 MB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
100 results for "trajectory processing" · page 6 of 10 · ranked by relevance
…accompanying JSON sidecar files. ## Data Processing The dataset has been reorganized into…
This dataset contains cue-locked EEG recordings and behavioral event annotations from 43 healthy adults performing a random-dot kinematogram (RDK) task designed to dissociate low-level and high-level hierarchical priors during perceptual decision-making. The study examines how such priors bias behavior via signal detection theory and generalized drift-diffusion modeling, and how they modulate occipital oscillatory and aperiodic EEG activity. Participants also completed questionnaires assessing psychosis proneness and psychological flexibility traits.
[, neck electromyography (EMG), inertial measurement unit (IMU) acceleration, and ground reaction force recordings collected from older adults walking over uneven terrain at varying speeds. Each participant completed multiple walking trials under different conditions as well as a seated rest trial, with digitized electrode locations provided. The dataset supports research into the neural and biomechanical mechanisms underlying balance and gait control during complex locomotion in aging populations.
…and Müller, H.J. (2010), Dimension-based attention modulates early visual processing…
This dataset comprises EEG recordings and behavioural responses collected while participants viewed images of scenes and rated aesthetic properties (beauty, complexity, interestingness) or judged their appropriateness for reading or social activities. The study investigates perceived affordances of environments, particularly staircases, using neural and behavioural measures. Full stimulus images and extracted behavioural data accompany the raw EEG recordings.
…Examining Perceptual Grouping on Stages of Processing in Visual Working Memory: An…
This dataset comprises high-density, dual-layer EEG, neck EMG, IMU acceleration, ground reaction force, and structural MRI-derived head model data from 32 young adult participants walking over uneven terrain and at varying speeds. Each participant completed two three-minute trials per condition along with a seated rest trial. The dataset is designed to support research on the neural and biomechanical correlates of walking balance and gait adaptation on irregular surfaces.