Sven Dähne

According to our database1, Sven Dähne authored at least 26 papers between 2010 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2019
The (Un)reliability of Saliency Methods.
Proceedings of the Explainable AI: Interpreting, 2019

iNNvestigate Neural Networks!
J. Mach. Learn. Res., 2019

2018
Learning how to explain neural networks: PatternNet and PatternAttribution.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
The (Un)reliability of saliency methods.
CoRR, 2017

PatternNet and PatternLRP - Improving the interpretability of neural networks.
CoRR, 2017

2016
Investigating the influence of noise and distractors on the interpretation of neural networks.
CoRR, 2016

Prediction of Difficulty Levels in Video Games from Ongoing EEG.
Proceedings of the Symbiotic Interaction, 2016

2015
Learning From More Than One Data Source: Data Fusion Techniques for Sensorimotor Rhythm-Based Brain-Computer Interfaces.
Proc. IEEE, 2015

Multivariate Machine Learning Methods for Fusing Multimodal Functional Neuroimaging Data.
Proc. IEEE, 2015

Wyrm: A Brain-Computer Interface Toolbox in Python.
Neuroinformatics, 2015

Identifying Granger causal relationships between neural power dynamics and variables of interest.
NeuroImage, 2015

Fusing Simultaneous EEG and fMRI Using Functional and Anatomical Information.
Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging, 2015

EEG band power predicts single-trial reaction time in a hand motor task.
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015

Probing meaningfulness of oscillatory EEG components with bootstrapping, label noise and reduced training sets.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Slow Feature Analysis on Retinal Waves Leads to V1 Complex Cells.
PLoS Comput. Biol., 2014

On the interpretation of weight vectors of linear models in multivariate neuroimaging.
NeuroImage, 2014

Dimensionality reduction for the analysis of brain oscillations.
NeuroImage, 2014

Finding brain oscillations with power dependencies in neuroimaging data.
NeuroImage, 2014

SPoC: A novel framework for relating the amplitude of neuronal oscillations to behaviorally relevant parameters.
NeuroImage, 2014

Parameter interpretation, regularization and source localization in multivariate linear models.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014

Optimizing spatial filters for the extraction of envelope-coupled neural oscillations.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014

Multimodal integration of electrophysiological and hemodynamic signals.
Proceedings of the 2014 International Winter Workshop on Brain-Computer Interface, 2014

2013
Integration of Multivariate Data Streams With Bandpower Signals.
IEEE Trans. Multim., 2013

User-centered design in brain-computer interfaces - A case study.
Artif. Intell. Medicine, 2013

2011
Slow Feature Analysis - A Tool for Extraction of Discriminating Event-Related Potentials in Brain-Computer Interfaces.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

2010
Pyff - A Pythonic Framework for Feedback Applications and Stimulus Presentation in Neuroscience.
Frontiers Neuroinformatics, 2010


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