Oikonomou2016 – SSVEP MAMEM 3 dataset
…CAR ## Signal Processing - **Classifiers**: LDA, SVM, Random Forest, kNN, Naive Bayes, CCA…
- Participants
- 11
- Channels
- 14 (10-10)
- Citations
- 39
- HED
- v8.4.0
- Size
- 277 MB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
100 results for "neural signal processing" · page 6 of 10 · ranked by relevance
…CAR ## Signal Processing - **Classifiers**: LDA, SVM, Random Forest, kNN, Naive Bayes, CCA…
This dataset comprises auditory neurophysiological recordings investigating the relationship between auditory streaming perception and interoceptive awareness. Participants engaged in auditory tasks while electrophysiological signals were recorded, enabling examination of how the brain processes complex auditory scenes and integrates bodily state information during perceptual organization.
…Simultaneously collected EEG and BOLD signals for each participant were recorded and…
…We resampled the data to sampling rate 1200 Hz before further processing…
This dataset comprises EEG recordings from a P300 visual matrix speller study comparing three unsupervised learning methods (Expectation-Maximization, Learning from Label Proportions, and their combination MIX) for brain-computer interface decoding. Twelve healthy participants performed a copy-spelling task using a modified 6×6 character grid extended with 10 # symbols as visual blanks (46 total symbols), recorded at 1000 Hz from 31 EEG channels. The study demonstrates that unsupervised learning methods can achieve performance comparable to supervised approaches without requiring calibration data.
…to understand how Personalized smartphone notifications bias auditory salience across processing stages
…Study neural signals, including event-related potentials and oscillations, alongside peripheral physiology…
Imported from OpenNeuro ds007175
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on006673-blue…