Matthias Treder
Orcid: 0000-0001-5955-2326Affiliations:
- Cardiff University, UK
According to our database1,
Matthias Treder
authored at least 19 papers
between 2010 and 2023.
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Bibliography
2023
IEEE Trans. Medical Imaging, June, 2023
Targeting targeted memory reactivation: Characteristics of cued reactivation in sleep.
NeuroImage, 2023
2022
Ongoing neural oscillations predict the post-stimulus outcome of closed loop auditory stimulation during slow-wave sleep.
NeuroImage, 2022
Towards an objective evaluation of EEG/MEG source estimation methods - The linear approach.
NeuroImage, 2022
Proceedings of the Machine Learning, Optimization, and Data Science, 2022
2020
Deriving Visual Semantics from Spatial Context: An Adaptation of LSA and Word2Vec to generate Object and Scene Embeddings from Images.
CoRR, 2020
2019
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019
2018
Cross-validation in high-dimensional spaces: a lifeline for least-squares models and multi-class LDA.
CoRR, 2018
Improving SNR and Reducing Training Time of Classifiers in Large Datasets via Kernel Averaging.
Proceedings of the Brain Informatics - International Conference, 2018
2016
The LDA beamformer: Optimal estimation of ERP source time series using linear discriminant analysis.
NeuroImage, 2016
2013
Proceedings of the International Winter Workshop on Brain-Computer Interface, 2013
2012
IEEE Trans. Image Process., 2012
2011
NeuroImage, 2011
Proceedings of the Machine Learning and Interpretation in Neuroimaging, 2011
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
Revealing the neural response to imperceptible peripheral flicker with machine learning.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
2010
Pyff - A Pythonic Framework for Feedback Applications and Stimulus Presentation in Neuroscience.
Frontiers Neuroinformatics, 2010
alpha-modulation induced by covert attention shifts as a new input modality for EEG-based BCIs.
Proceedings of the IEEE International Conference on Systems, 2010