עקוב אחר
Sven Dähne
Sven Dähne
כתובת אימייל מאומתת בדומיין amazon.com
כותרת
צוטט על ידי
צוטט על ידי
שנה
On the interpretation of weight vectors of linear models in multivariate neuroimaging
S Haufe, F Meinecke, K Görgen, S Dähne, JD Haynes, B Blankertz, ...
Neuroimage 87, 96-110, 2014
12582014
The (un) reliability of saliency methods
PJ Kindermans, S Hooker, J Adebayo, M Alber, KT Schütt, S Dähne, ...
Explainable AI: Interpreting, explaining and visualizing deep learning, 267-280, 2019
6842019
iNNvestigate neural networks!
M Alber, S Lapuschkin, P Seegerer, M Hägele, KT Schütt, G Montavon, ...
Journal of machine learning research 20 (93), 1-8, 2019
3882019
Learning how to explain neural networks: Patternnet and patternattribution
PJ Kindermans, KT Schütt, M Alber, KR Müller, D Erhan, B Kim, S Dähne
arXiv preprint arXiv:1705.05598, 2017
3872017
The point of no return in vetoing self-initiated movements
M Schultze-Kraft, D Birman, M Rusconi, C Allefeld, K Görgen, S Dähne, ...
Proceedings of the national Academy of Sciences 113 (4), 1080-1085, 2016
2852016
The Berlin brain-computer interface: progress beyond communication and control
B Blankertz, L Acqualagna, S Dähne, S Haufe, M Schultze-Kraft, I Sturm, ...
Frontiers in neuroscience 10, 530, 2016
2342016
SPoC: A novel framework for relating the amplitude of neuronal oscillations to behaviorally relevant parameters
S Dähne, FC Meinecke, S Haufe, J Höhne, M Tangermann, KR Müller, ...
NeuroImage 86, 111-122, 2014
1432014
Investigating the influence of noise and distractors on the interpretation of neural networks
PJ Kindermans, K Schütt, KR Müller, S Dähne
arXiv preprint arXiv:1611.07270, 2016
1372016
Effect of higher frequency on the classification of steady-state visual evoked potentials
DO Won, HJ Hwang, S Dähne, KR Müller, SW Lee
Journal of neural engineering 13 (1), 016014, 2015
1162015
Concurrent Adaptation of Human and Machine Improves Simultaneous and Proportional Myoelectric Control
J Hahne, S Dähne, HJ Hwang, KR Müller, L Parra
IEEE Transactions on Neural Systems and Rehabilitation Engineering 23 (4 …, 2015
1042015
Multivariate Machine Learning Methods for Fusing Multimodal Functional Neuroimaging Data
S Dähne, F Bießmann, W Samek, S Haufe, D Goltz, C Gundlach, ...
Proceedings of the IEEE 103 (9), 1507 - 1530, 2015
1042015
Learning From More Than One Data Source: Data Fusion Techniques for Sensorimotor Rhythm-Based Brain–Computer Interfaces
S Fazli, S Dähne, W Samek, F Bießmann, KR Müller
Proceedings of the IEEE 103 (6), 891 - 906, 2015
1042015
User-centered design in brain–computer interfaces—A case study
M Schreuder, A Riccio, M Risetti, S Dähne, A Ramsay, J Williamson, ...
Artificial intelligence in medicine 59 (2), 71-80, 2013
952013
Dimensionality reduction for the analysis of brain oscillations
S Haufe, S Dähne, VV Nikulin
NeuroImage 101, 583-597, 2014
912014
Pyff–a pythonic framework for feedback applications and stimulus presentation in neuroscience
B Venthur, S Scholler, J Williamson, S Dähne, MS Treder, MT Kramarek, ...
Frontiers in Neuroscience 4, 2010
792010
Natural stimuli improve auditory BCIs with respect to ergonomics and performance
J Höhne, K Krenzlin, S Dähne, M Tangermann
Journal of Neural Engineering 9 (4), 045003, 2012
762012
EEG predictors of covert vigilant attention
A Martel, S Dähne, B Blankertz
Journal of neural engineering 11 (3), 035009, 2014
732014
Finding brain oscillations with power dependencies in neuroimaging data
S Dähne, VV Nikulin, D Ramírez, PJ Schreier, KR Müller, S Haufe
NeuroImage 96, 334-348, 2014
582014
Multi-variate EEG analysis as a novel tool to examine brain responses to naturalistic music stimuli
I Sturm, S Dähne, B Blankertz, G Curio
PloS one 10 (10), e0141281, 2015
482015
Unsupervised classification of operator workload from brain signals
M Schultze-Kraft, S Dähne, M Gugler, G Curio, B Blankertz
Journal of neural engineering 13 (3), 036008, 2016
462016
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