Computational Intelligence and Neuroscience

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

Removing Ocular Movement Artefacts by a Joint Smoothened Subspace Estimator

Automatic Seizure Detection Based on Time-Frequency Analysis and Artificial Neural Networks

Canonical Decomposition of Ictal Scalp EEG and Accurate Source Localisation: Principles and Simulation Study

The Implicit Function as Squashing Time Model: A Novel Parallel Nonlinear EEG Analysis Technique Distinguishing Mild Cognitive Impairment and Alzheimer's Disease Subjects with High Degree of Accuracy

fMRI Brain-Computer Interface: A Tool for Neuroscientific Research and Treatment

Modern Electrophysiological Methods for Brain-Computer Interfaces

Online Artifact Removal for Brain-Computer Interfaces Using Support Vector Machines and Blind Source Separation

Clustering Approach to Quantify Long-Term Spatio-Temporal Interactions in Epileptic Intracranial Electroencephalography

A Subspace Method for Dynamical Estimation of Evoked Potentials

Computational Intelligence and Neuroscience

Table of Contents

Table of Contents: 2007

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

Removing Ocular Movement Artefacts by a Joint Smoothened Subspace Estimator

Automatic Seizure Detection Based on Time-Frequency Analysis and Artificial Neural Networks

Canonical Decomposition of Ictal Scalp EEG and Accurate Source Localisation: Principles and Simulation Study

The Implicit Function as Squashing Time Model: A Novel Parallel Nonlinear EEG Analysis Technique Distinguishing Mild Cognitive Impairment and Alzheimer's Disease Subjects with High Degree of Accuracy

fMRI Brain-Computer Interface: A Tool for Neuroscientific Research and Treatment

Modern Electrophysiological Methods for Brain-Computer Interfaces

Online Artifact Removal for Brain-Computer Interfaces Using Support Vector Machines and Blind Source Separation

Clustering Approach to Quantify Long-Term Spatio-Temporal Interactions in Epileptic Intracranial Electroencephalography

A Subspace Method for Dynamical Estimation of Evoked Potentials