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)

Slow Feature Analysis - A Tool for Extraction of Discriminating Event-Related Potentials in Brain-Computer Interfaces. - Sven Dähne; Johannes Höhne; Martijn Schreuder; Michael Tangermann (ICANN (1), 2011)

User-centered design in brain-computer interfaces - A case study. - Martijn Schreuder; Angela Riccio; Monica Risetti; Sven Dähne; Andrew Ramsay; John Williamson 001; Donatella Mattia; Michael Tangermann (Artif. Intell. Medicine, 2013)

Integration of Multivariate Data Streams With Bandpower Signals. - Sven Dähne; Felix Bießmann; Frank C. Meinecke; Jan Mehnert; Siamac Fazli; Klaus-Robert Müller (IEEE Trans. Multim., 2013)

Multimodal integration of electrophysiological and hemodynamic signals. - Sven Dähne; Felix Bießmann; Frank C. Meinecke; Jan Mehnert; Siamac Fazli; Klaus-Robert Müller (BCI, 2014)

Optimizing spatial filters for the extraction of envelope-coupled neural oscillations. - Sven Dähne; Vadim V. Nikulin; David Ramírez 001; Peter J. Schreier; Klaus-Robert Müller; Stefan Haufe (PRNI, 2014)

Parameter interpretation, regularization and source localization in multivariate linear models. - Stefan Haufe; Frank C. Meinecke; Kai Görgen; Sven Dähne; John-Dylan Haynes; Benjamin Blankertz; Felix Bießmann (PRNI, 2014)

SPoC: A novel framework for relating the amplitude of neuronal oscillations to behaviorally relevant parameters. - Sven Dähne; Frank C. Meinecke; Stefan Haufe; Johannes Höhne; Michael Tangermann; Klaus-Robert Müller; Vadim V. Nikulin (NeuroImage, 2014)

Finding brain oscillations with power dependencies in neuroimaging data. - Sven Dähne; Vadim V. Nikulin; David Ramírez 001; Peter J. Schreier; Klaus-Robert Müller; Stefan Haufe (NeuroImage, 2014)

Dimensionality reduction for the analysis of brain oscillations. - Stefan Haufe; Sven Dähne; Vadim V. Nikulin (NeuroImage, 2014)

On the interpretation of weight vectors of linear models in multivariate neuroimaging. - Stefan Haufe; Frank C. Meinecke; Kai Görgen; Sven Dähne; John-Dylan Haynes; Benjamin Blankertz; Felix Bießmann (NeuroImage, 2014)

Slow Feature Analysis on Retinal Waves Leads to V1 Complex Cells. - Sven Dähne; Niko Wilbert; Laurenz Wiskott (PLoS Comput. Biol., 2014)

Probing meaningfulness of oscillatory EEG components with bootstrapping, label noise and reduced training sets. - Sebastián Castaño-Candamil; Andreas Meinel; Sven Dähne; Michael Tangermann (EMBC, 2015)

EEG band power predicts single-trial reaction time in a hand motor task. - Andreas Meinel; Juan Sebastián Castaño-Candamil; Sven Dähne; Janine Reis; Michael Tangermann (NER, 2015)

Fusing Simultaneous EEG and fMRI Using Functional and Anatomical Information. - Sofie Therese Hansen; Irene Winkler; Lars Kai Hansen; Klaus-Robert Müller; Sven Dähne (PRNI, 2015)

Identifying Granger causal relationships between neural power dynamics and variables of interest. - Irene Winkler; Stefan Haufe; Anne K. Porbadnigk; Klaus-Robert Müller; Sven Dähne (NeuroImage, 2015)

Wyrm: A Brain-Computer Interface Toolbox in Python. - Bastian Venthur; Sven Dähne; Johannes Höhne; Hendrik Heller; Benjamin Blankertz (Neuroinformatics, 2015)

Multivariate Machine Learning Methods for Fusing Multimodal Functional Neuroimaging Data. - Sven Dähne; Felix Bießmann; Wojciech Samek; Stefan Haufe; Dominique Goltz; Christopher Gundlach; Arno Villringer; Siamac Fazli; Klaus-Robert Müller (Proc. IEEE, 2015)

Learning From More Than One Data Source: Data Fusion Techniques for Sensorimotor Rhythm-Based Brain-Computer Interfaces. - Siamac Fazli; Sven Dähne; Wojciech Samek; Felix Bießmann; Klaus-Robert Müller (Proc. IEEE, 2015)

Prediction of Difficulty Levels in Video Games from Ongoing EEG. - Laura Naumann; Matthias Schultze-Kraft; Sven Dähne; Benjamin Blankertz (Symbiotic, 2016)

Investigating the influence of noise and distractors on the interpretation of neural networks. - Pieter-Jan Kindermans; Kristof Schütt; Klaus-Robert Müller; Sven Dähne (CoRR, 2016)

PatternNet and PatternLRP - Improving the interpretability of neural networks. - Pieter-Jan Kindermans; Kristof T. Schütt; Maximilian Alber; Klaus-Robert Müller; Sven Dähne (CoRR, 2017)

The (Un)reliability of saliency methods. - Pieter-Jan Kindermans; Sara Hooker; Julius Adebayo; Maximilian Alber; Kristof T. Schütt; Sven Dähne; Dumitru Erhan; Been Kim (CoRR, 2017)

Learning how to explain neural networks: PatternNet and PatternAttribution. - Pieter-Jan Kindermans; Kristof T. Schütt; Maximilian Alber; Klaus-Robert Müller; Dumitru Erhan; Been Kim; Sven Dähne (ICLR (Poster), 2018)

iNNvestigate Neural Networks! - Maximilian Alber; Sebastian Lapuschkin; Philipp Seegerer; Miriam Hägele; Kristof T. Schütt; Grégoire Montavon; Wojciech Samek; Klaus-Robert Müller; Sven Dähne; Pieter-Jan Kindermans (J. Mach. Learn. Res., 2019)

The (Un)reliability of Saliency Methods. - Pieter-Jan Kindermans; Sara Hooker; Julius Adebayo; Maximilian Alber; Kristof T. Schütt; Sven Dähne; Dumitru Erhan; Been Kim (Explainable AI, 2019)