Brain Computer Interfaces
Gentle Introduction to Signal Processing and Classification for Single-Trial ERP Analysis
On Sequence Kernels for SVM classification of sets of vector
Denoising and Dimension Reduction in Feature Space
Machine Learning for Multimodal Neuroimaging
Optimizing Multi-Class Spatio-Spectral Filters via Bayes Error Estimation for EEG Classification
The Canadian Handbook for Careers in Psychological Science
Learning Bounds for Support Vector Machines with Learned Kernels
EEG Feature Representations and Associated Spatial Filters for Brain-Computer Interfaces
Light, charges and brains