100 results for "feature extraction" · page 3 of 10 · ranked by relevance
This dataset contains EEG recordings from a color change detection task, organized according to the Brain Imaging Data Structure (BIDS) standard. It is intended to support research on visual attention and perceptual change detection processes.
…MDM, Riemannian - **Feature extraction**: Bandpower, Covariance/Riemannian, ICA - **Frequency bands**: alpha=[8…
…LDA, linear binary classifier - **Feature extraction**: spatio-temporal features, r2 coefficient, interval…
…LDA, SLDA - **Feature extraction**: ERP components, P300, P3 - **Spatial filters**: shrinkage covariance…
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.
…LDA, regularized LDA - **Feature extraction**: CSP, SUB (MRP/slow potentials), AR - **Frequency…
…EEGNet, LDA, SVM, MLP - **Feature extraction**: temporal_features, deep_learning - **Frequency bands…
…parameter (filtering, artifact removal, feature extraction, feature selection, classification) is studied independently…
Imported from OpenNeuro ds004368