alpha-modulation induced by covert attention shifts as a new input modality for EEG-based BCIs. - Nico Schmidt; Benjamin Blankertz; Matthias Sebastian Treder (SMC, 2010)

Pyff - A Pythonic Framework for Feedback Applications and Stimulus Presentation in Neuroscience. - Bastian Venthur; Simon Scholler; John Williamson 001; Sven Dähne; Matthias Sebastian Treder; Maria T. Kramarek; Klaus-Robert Müller; Benjamin Blankertz (Frontiers Neuroinformatics, 2010)

Behind the Looking-Glass: A Review on Human Symmetry Perception. - Matthias Sebastian Treder (Symmetry, 2010)

Revealing the neural response to imperceptible peripheral flicker with machine learning. - Anne K. Porbadnigk; Simon Scholler; Benjamin Blankertz; Arnd Ritz; Matthias Born; Robert Scholl; Klaus-Robert Müller; Gabriel Curio; Matthias Sebastian Treder (EMBC, 2011)

Performance optimization of ERP-based BCIs using dynamic stopping. - Martijn Schreuder; Johannes Höhne; Matthias Sebastian Treder; Benjamin Blankertz; Michael Tangermann (EMBC, 2011)

Covert Attention as a Paradigm for Subject-Independent Brain-Computer Interfacing. - Hans J. P. Wouters; Marcel A. J. van Gerven; Matthias Sebastian Treder; Tom Heskes; Ali Bahramisharif (MLINI, 2011)

Single-trial analysis and classification of ERP components - A tutorial. - Benjamin Blankertz; Steven Lemm; Matthias Sebastian Treder; Stefan Haufe; Klaus-Robert Müller (NeuroImage, 2011)

Toward a Direct Measure of Video Quality Perception Using EEG. - Simon Scholler; Sebastian Bosse; Matthias Sebastian Treder; Benjamin Blankertz; Gabriel Curio; Klaus-Robert Müller; Thomas Wiegand 001 (IEEE Trans. Image Process., 2012)

Decoding cognitive brain states. - Anne K. Porbadnigk; Matthias Sebastian Treder; Siamac Fazli; Michael Tangermann; Carmen Vidaurre; Stefan Haufe; Gabriel Curio; Benjamin Blankertz; Klaus-Robert Müller (BCI, 2013)

The LDA beamformer: Optimal estimation of ERP source time series using linear discriminant analysis. - Matthias Sebastian Treder; Anne K. Porbadnigk; Forooz Shahbazi Avarvand; Klaus-Robert Müller; Benjamin Blankertz (NeuroImage, 2016)

Improving SNR and Reducing Training Time of Classifiers in Large Datasets via Kernel Averaging. - Matthias Sebastian Treder (BI, 2018)

Cross-validation in high-dimensional spaces: a lifeline for least-squares models and multi-class LDA. - Matthias Sebastian Treder (CoRR, 2018)

Direct calculation of out-of-sample predictions in multi-class kernel FDA. - Matthias Treder (ESANN, 2019)

Deriving Visual Semantics from Spatial Context: An Adaptation of LSA and Word2Vec to generate Object and Scene Embeddings from Images. - Matthias Sebastian Treder; Juan Mayor-Torres; Christoph Teufel (CoRR, 2020)

Brain Structural Saliency over the Ages. - Daniel Taylor; Jonathan P. Shock; Deshendran Moodley; Jonathan Ipser; Matthias Treder (LOD (2), 2022)

Towards an objective evaluation of EEG/MEG source estimation methods - The linear approach. - Olaf Hauk; Matti Stenroos; Matthias Sebastian Treder (NeuroImage, 2022)

Ongoing neural oscillations predict the post-stimulus outcome of closed loop auditory stimulation during slow-wave sleep. - Miguel Navarrete; Steven Arthur; Matthias Sebastian Treder; Penelope A. Lewis (NeuroImage, 2022)

Targeting targeted memory reactivation: Characteristics of cued reactivation in sleep. - Mahmoud E. A. Abdellahi; Anne C. M. Koopman; Matthias Sebastian Treder; Penelope A. Lewis (NeuroImage, 2023)

A Skewed Loss Function for Correcting Predictive Bias in Brain Age Prediction. - Hanzhi Wang 002; Matthias Sebastian Treder; David Marshall 001; Derek K. Jones; Yuhua Li 001 (IEEE Trans. Medical Imaging, 2023)

Adaptive Render-Video Streaming for Virtual Environments. - Jia-Jie Lim; Matthias Sebastian Treder; Aaron Chadha; Yiannis Andreopoulos (CVPR Workshops, 2024)

Fast Explanation of RBF-Kernel SVM Models Using Activation Patterns. - Mengqi Zhang; Matthias Treder; David Marshall 001; Yuhua Li 001 (IJCNN, 2024)

Explaining the predictions of kernel SVM models for neuroimaging data analysis. - Mengqi Zhang; Matthias Treder; David Marshall 001; Yuhua Li 001 (Expert Syst. Appl., 2024)