Sven Dähne

发表

The (Un)reliability of saliency methods

Dumitru Erhan, Been Kim, Sven Dähne, 2017, Explainable AI.

Learning how to explain neural networks: PatternNet and PatternAttribution

Klaus-Robert Müller, Dumitru Erhan, Been Kim, 2017, ICLR.

Natural stimuli improve auditory BCIs with respect to ergonomics and performance.

Michael Tangermann, Sven Dähne, Johannes Höhne, 2012, Journal of neural engineering.

Pyff – A Pythonic Framework for Feedback Applications and Stimulus Presentation in Neuroscience

Klaus-Robert Müller, John Williamson, Benjamin Blankertz, 2010, Front. Neurosci..

Effect of higher frequency on the classification of steady-state visual evoked potentials

K. Müller, Seong-Whan Lee, Sven Dähne, 2016, Journal of neural engineering.

Learning From More Than One Data Source: Data Fusion Techniques for Sensorimotor Rhythm-Based Brain–Computer Interfaces

Klaus-Robert Müller, Wojciech Samek, Siamac Fazli, 2015, Proceedings of the IEEE.

Running head : THE NEURAL REPRESENTATION OF ENSEMBLE MUSIC 1 Extracting the neural representation of tone onsets for separate voices of ensemble 2 music using multivariate EEG analysis

G. Curio, Sven Dähne, B. Blankertz, 2015 .

How to iNNvestigate neural network’s predictions!

Kristof T. Schütt, K. Müller, Pieter-Jan Kindermans, 2018 .

Multi-Variate EEG Analysis as a Novel Tool to Examine Brain Responses to Naturalistic Music Stimuli

Gabriel Curio, Benjamin Blankertz, Sven Dähne, 2015, PloS one.

EEG predictors of covert vigilant attention

Benjamin Blankertz, Sven Dähne, Adrien Martel, 2014, Journal of neural engineering.

Detecting resting-state networks using scalable multi-subject spatial canonical correlation analysis

Daniel S. Margulies, Julia M. Huntenburg, Janis Reinelt, 2016 .

Self-organization Of V 1 Complex-Cells Based On Slow Feature Analysis And Retinal Waves Sven Dähne

Laurenz Wiskott, Niko Wilbert, Sven Dähne, 2010 .

Decoding of top-down cognitive processing for SSVEP-controlled BMI

Klaus-Robert Müller, Sven Dähne, Byoung-Kyong Min, 2016, Scientific Reports.

Pyff – A Pythonic Framework for Feedback Applications and Stimulus Presentation in Neuroscience

Benjamin Blankertz, Klaus-Robert Müller, Matthias S. Treder, 2010, Front. Neurosci..

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

Stefan Haufe, Gabriel Curio, Benjamin Blankertz, 2016, Front. Neurosci..

Slow Feature Analysis on Retinal Waves Leads to V1 Complex Cells

Niko Wilbert, Laurenz Wiskott, Sven Dähne, 2014, PLoS Comput. Biol..

Decomposition methods for the fusion of multimodal neuroimaging data

Sven Dähne, Sven Dähne, 2015 .

Multivariate Machine Learning Methods for Fusing Multimodal Functional Neuroimaging Data

Stefan Haufe, Klaus-Robert Müller, Wojciech Samek, 2015, Proceedings of the IEEE.

Finding brain oscillations with power dependencies in neuroimaging data

Stefan Haufe, Klaus-Robert Müller, Vadim V. Nikulin, 2014, NeuroImage.

Machine learning methods of the Berlin brain-computer interface

Wojciech Samek, Klaus-Robert Müller, Carmen Vidaurre, 2015 .

On the interpretation of weight vectors of linear models in multivariate neuroimaging

Stefan Haufe, Benjamin Blankertz, Felix Bießmann, 2014, NeuroImage.

Fourier SPoC: A customised machine-learning analysis pipeline for auditory beat-based entrainment in the MEG

N. T. Haumann, Sven Dähne, M. Grube, 2021, bioRxiv.

PatternNet and PatternLRP - Improving the interpretability of neural networks pdf

Klaus-Robert Müller, Sven Dähne, Pieter-Jan Kindermans, 2017, ArXiv.

iNNvestigate neural networks!

Klaus-Robert Müller, Wojciech Samek, Sebastian Lapuschkin, 2018, J. Mach. Learn. Res..

SPoC: A novel framework for relating the amplitude of neuronal oscillations to behaviorally relevant parameters

Stefan Haufe, Klaus-Robert Müller, Michael Tangermann, 2014, NeuroImage.

Dimensionality reduction for the analysis of brain oscillations

Stefan Haufe, Vadim V. Nikulin, Sven Dähne, 2014, NeuroImage.

Identifying Granger causal relationships between neural power dynamics and variables of interest

Stefan Haufe, Klaus-Robert Müller, Sven Dähne, 2015, NeuroImage.

The point of no return in vetoing self-initiated movements

Benjamin Blankertz, Sven Dähne, Daniel Birman, 2015, Proceedings of the National Academy of Sciences.

The polyphonic brain: Extracting the neural representation of rhythmic structure for separate voices of polyphonic music using ERPs

G. Curio, Sven Dähne, B. Blankertz, 2014 .

Prediction of Difficulty Levels in Video Games from Ongoing EEG

Benjamin Blankertz, Sven Dähne, Laura Naumann, 2016, Symbiotic.

Optimizing spatial filters for the extraction of envelope-coupled neural oscillations

Stefan Haufe, Klaus-Robert Müller, Vadim V. Nikulin, 2014, 2014 International Workshop on Pattern Recognition in Neuroimaging.

Investigating the influence of noise and distractors on the interpretation of neural networks pdf

Klaus-Robert Müller, Sven Dähne, Pieter-Jan Kindermans, 2016, ArXiv.

Learning how to explain neural networks: PatternNet and PatternAttribution

Kristof T. Schütt, D. Erhan, K. Müller, 2017, ICLR.

User-centered design in brain-computer interfaces - A case study

John Williamson, Donatella Mattia, Michael Tangermann, 2013, Artif. Intell. Medicine.

Involving Motor Capabilities in the Formation of Sensory Space Representations

Andreas K. Engel, Peter König, Sven Dähne, 2010, PloS one.

Integration of Multivariate Data Streams With Bandpower Signals

Klaus-Robert Müller, Siamac Fazli, Felix Bießmann, 2013, IEEE Transactions on Multimedia.

How to iNNvestigate neural networks' predictions!

Klaus-Robert Müller, Wojciech Samek, Sebastian Lapuschkin, 2018 .

EEG band power predicts single-trial reaction time in a hand motor task

Michael Tangermann, Sven Dähne, Janine Reis, 2015, 2015 7th International IEEE/EMBS Conference on Neural Engineering (NER).

SPoC: A novel framework for relating the amplitude of neuronal oscillations to behaviorally relevant parameters

K. Müller, F. Meinecke, Sven Dähne, 2014, NeuroImage.

On the Interpretability of Linear Multivariate Neuroimaging Analyses : Filters , Patterns and their Relationship

Stefan Haufe, Klaus-Robert Müller, Benjamin Blankertz, 2012 .