MVPA-Light: A Classification and Regression Toolbox for Multi-Dimensional Data

The Decision Decoding ToolBOX (DDTBOX) – A Multivariate Pattern Analysis Toolbox for Event-Related Potentials

(2018) Stefan Bode et al.   NEUROINFORMATICS

From ERPs to MVPA Using the Amsterdam Decoding and Modeling Toolbox (ADAM)

(2018) Johannes J. Fahrenfort et al.   Frontiers in Neuroscience

Multivariate pattern analysis of MEG and EEG: A comparison of representational structure in time and space

(2017) Radoslaw Martin Cichy et al.   NEUROIMAGE

Assessing and tuning brain decoders: Cross-validation, caveats, and guidelines

(2017) Gaël Varoquaux et al.   NEUROIMAGE

The LDA beamformer: Optimal estimation of ERP source time series using linear discriminant analysis

(2016) Matthias S. Treder et al.   NEUROIMAGE

CoSMoMVPA: Multi-Modal Multivariate Pattern Analysis of Neuroimaging Data in Matlab/GNU Octave

(2016) Nikolaas N. Oosterhof et al.   Frontiers in Neuroinformatics

The Berlin Brain-Computer Interface: Progress Beyond Communication and Control

(2016) Benjamin Blankertz et al.   Frontiers in Neuroscience

Can visual information encoded in cortical columns be decoded from magnetoencephalography data in humans?

(2015) Radoslaw Martin Cichy et al.   NEUROIMAGE

The Decoding Toolbox (TDT): a versatile software package for multivariate analyses of functional imaging data

(2015) Martin N. Hebart et al.   Frontiers in Neuroinformatics

A multi-subject, multi-modal human neuroimaging dataset

(2015) Daniel G Wakeman et al.   Scientific Data

Building Predictive Models inRUsing thecaretPackage

(2015) Max Kuhn   Journal of Statistical Software

Decoding auditory attention to instruments in polyphonic music using single-trial EEG classification

(2014) M S Treder et al.   Journal of Neural Engineering

Joint decorrelation, a versatile tool for multichannel data analysis

(2014) Alain de Cheveigné et al.   NEUROIMAGE

Characterizing the dynamics of mental representations: the temporal generalization method

(2014) J-R. King et al.   TRENDS IN COGNITIVE SCIENCES

BCILAB: a platform for brain–computer interface development

(2013) Christian Andreas Kothe et al.   Journal of Neural Engineering

Classification of covariance matrices using a Riemannian-based kernel for BCI applications

(2013) Alexandre Barachant et al.   NEUROCOMPUTING

PRoNTo: Pattern Recognition for Neuroimaging Toolbox

(2013) J. Schrouff et al.   NEUROINFORMATICS

Multivariate pattern analysis of fMRI: The early beginnings

(2012) James V. Haxby   NEUROIMAGE

LIBSVM

(2012) Chih-Chung Chang et al.   ACM Transactions on Intelligent Systems and Technology

Comparison of multivariate classifiers and response normalizations for pattern-information fMRI

(2010) Masaya Misaki et al.   NEUROIMAGE

Single-trial analysis and classification of ERP components — A tutorial

(2010) Benjamin Blankertz et al.   NEUROIMAGE

Introduction to machine learning for brain imaging

(2010) Steven Lemm et al.   NEUROIMAGE

FieldTrip: Open Source Software for Advanced Analysis of MEG, EEG, and Invasive Electrophysiological Data

(2010) Robert Oostenveld et al.   Computational Intelligence and Neuroscience

A systematic analysis of performance measures for classification tasks

(2009) Marina Sokolova et al.   INFORMATION PROCESSING & MANAGEMENT

Revealing representational content with pattern-information fMRI—an introductory guide

(2009) Marieke Mur et al.   Social Cognitive and Affective Neuroscience

Optimizing Spatial filters for Robust EEG Single-Trial Analysis

(2008) Benjamin Blankertz et al.   IEEE SIGNAL PROCESSING MAGAZINE

Machine learning classifiers and fMRI: A tutorial overview

(2008) Francisco Pereira et al.   NEUROIMAGE