Sven Dähne

发表

Slow Feature Analysis as a Potential Preprocessing Tool in BCI

Klaus-Robert Müller, Michael Tangermann, Sven Dähne, 2011 .

Slow Feature Analysis on Retinal Waves Leads to V1 Complex Cells

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

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.

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).

Unsupervised classification of operator workload from brain signals.

Gabriel Curio, Benjamin Blankertz, Sven Dähne, 2016, Journal of neural engineering.

Probing meaningfulness of oscillatory EEG components with bootstrapping, label noise and reduced training sets

Michael Tangermann, Sven Dähne, Sebastián Castaño-Candamil, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Wyrm: A Brain-Computer Interface Toolbox in Python

Benjamin Blankertz, Sven Dähne, Johannes Höhne, 2015, Neuroinformatics.

Decomposition methods for the fusion of multimodal neuroimaging data

Sven Dähne, Sven Dähne, 2015 .

Learning how to explain neural networks: PatternNet and PatternAttribution

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

iNNvestigate neural networks!

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

Dimensionality reduction for the analysis of brain oscillations

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

Slow Feature Analysis - A Tool for Extraction of Discriminating Event-Related Potentials in Brain-Computer Interfaces

Michael Tangermann, Martijn Schreuder, Sven Dähne, 2011, ICANN.

The (Un)reliability of saliency methods

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

Multivariate Machine Learning Methods for Fusing Multimodal Functional Neuroimaging Data

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

Learning complex cell units from simulated prenatal retinal waves with slow feature analysis

Niko Wilbert, Laurenz Wiskott, Sven Dähne, 2009, BMC Neuroscience.

Bridging the gap between BCI technology design and severely disabled end-users: experience from a photo browser validation

Roderick Murray-Smith, Donatella Mattia, Michael Tangermann, 2010 .

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

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

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.

Parameter interpretation, regularization and source localization in multivariate linear models

Stefan Haufe, Benjamin Blankertz, Felix Bießmann, 2014, 2014 International Workshop on Pattern Recognition in Neuroimaging.

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

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

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

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

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

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

Fusing Simultaneous EEG and fMRI Using Functional and Anatomical Information

Klaus-Robert Müller, Lars Kai Hansen, Sofie Therese Hansen, 2015, 2015 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.

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

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

Involving Motor Capabilities in the Formation of Sensory Space Representations

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

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

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

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

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

The point of no return in vetoing self-initiated movements

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

How to iNNvestigate neural networks' predictions!

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

Prediction of Difficulty Levels in Video Games from Ongoing EEG

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

Integration of Multivariate Data Streams With Bandpower Signals

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

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

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

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

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

Finding brain oscillations with power dependencies in neuroimaging data

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

PatternNet and PatternLRP - Improving the interpretability of neural networks pdf

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

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.

Adaptive Classification Improves Control Performance in ERP-Based BCIs

Michael Tangermann, Sven Dähne, Johannes Höhne, 2011 .

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

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

Extracting the Neural Representation of Tone Onsets for Separate Voices of Ensemble Music Using Multivariate EEG Analysis

Gabriel Curio, Benjamin Blankertz, Hendrik Purwins, 2015 .