Neural Tracking to go
Imported from OpenNeuro ds003801
- Participants
- 20
- Channels
- 24 (10-10)
- Size
- 1.15 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
100 results for "predictive processing" · page 3 of 10 · ranked by relevance
Imported from OpenNeuro ds003801
…The goal was to reveal whether temporal expectation influences initial sensory processing…
This EEG-BIDS dataset contains cue-locked recordings from 43 neurotypical adults performing a random-dot kinematogram task designed to dissociate low-level and high-level priors during perceptual decision-making. The study investigates how hierarchical priors bias behavior and modulate occipital oscillatory and aperiodic EEG activity using signal detection theory and generalized drift-diffusion modeling. Three within-subject conditions (baseline, low-level prior, high-level prior) were tested with individualized motion coherence thresholds.
…periods of driver fatigue via predictive algorithms formulated from the analysis of…
…that were found to be predictive of symptoms consistent with attention-deficit…
…periods of driver fatigue via predictive algorithms formulated from the analysis of…
…periods of driver fatigue via predictive algorithms formulated from the analysis of…
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.
…https://osf.io/thsqg/ Examples of EEGLAB/ERPLAB data processing scripts that…