Computational Intelligence and Neuroscience

Extended Nonnegative Tensor Factorisation Models for Musical Sound Source Separation

Single-Trial Decoding of Bistable Perception Based on Sparse Nonnegative Tensor Decomposition

Robust Object Recognition under Partial Occlusions Using NMF

Theorems on Positive Data: On the Uniqueness of NMF

Performance of a Self-Paced Brain Computer Interface on Data Contaminated with Eye-Movement Artifacts and on Data Recorded in a Subsequent Session

Probabilistic Latent Variable Models as Nonnegative Factorizations

Asymmetric Variate Generation via a Parameterless Dual Neural Learning Algorithm

Nonnegative Matrix Factorization with Gaussian Process Priors

Gene Tree Labeling Using Nonnegative Matrix Factorization on Biomedical Literature

EEG/MEG Signal Processing

The P300 as a Marker of Waning Attention and Error Propensity

Brain-Computer Interfaces: Towards Practical Implementations and Potential Applications

Classifying EEG for Brain-Computer Interface: Learning Optimal Filters for Dynamical System Features

High-Resolution Movement EEG Classification

A Framework to Support Automated Classification and Labeling of Brain Electromagnetic Patterns

Computational Intelligence and Neuroscience

Table of Contents

Table of Contents

Extended Nonnegative Tensor Factorisation Models for Musical Sound Source Separation

Single-Trial Decoding of Bistable Perception Based on Sparse Nonnegative Tensor Decomposition

Robust Object Recognition under Partial Occlusions Using NMF

Theorems on Positive Data: On the Uniqueness of NMF

Performance of a Self-Paced Brain Computer Interface on Data Contaminated with Eye-Movement Artifacts and on Data Recorded in a Subsequent Session

Probabilistic Latent Variable Models as Nonnegative Factorizations

Asymmetric Variate Generation via a Parameterless Dual Neural Learning Algorithm

Nonnegative Matrix Factorization with Gaussian Process Priors

Gene Tree Labeling Using Nonnegative Matrix Factorization on Biomedical Literature

EEG/MEG Signal Processing

The P300 as a Marker of Waning Attention and Error Propensity

Brain-Computer Interfaces: Towards Practical Implementations and Potential Applications

Classifying EEG for Brain-Computer Interface: Learning Optimal Filters for Dynamical System Features

High-Resolution Movement EEG Classification

A Framework to Support Automated Classification and Labeling of Brain Electromagnetic Patterns