5 code implementations • 15 Mar 2017 • Robin Tibor Schirrmeister, Jost Tobias Springenberg, Lukas Dominique Josef Fiederer, Martin Glasstetter, Katharina Eggensperger, Michael Tangermann, Frank Hutter, Wolfram Burgard, Tonio Ball
PLEASE READ AND CITE THE REVISED VERSION at Human Brain Mapping: http://onlinelibrary. wiley. com/doi/10. 1002/hbm. 23730/full Code available here: https://github. com/robintibor/braindecode
2 code implementations • 5 Jun 2018 • Kay Gregor Hartmann, Robin Tibor Schirrmeister, Tonio Ball
Generative adversarial networks (GANs) are recently highly successful in generative applications involving images and start being applied to time series data.
1 code implementation • NeurIPS 2020 • Robin Tibor Schirrmeister, Yuxuan Zhou, Tonio Ball, Dan Zhang
We refine previous investigations of this failure at anomaly detection for invertible generative networks and provide a clear explanation of it as a combination of model bias and domain prior: Convolutional networks learn similar low-level feature distributions when trained on any natural image dataset and these low-level features dominate the likelihood.
2 code implementations • 26 Aug 2017 • Robin Tibor Schirrmeister, Lukas Gemein, Katharina Eggensperger, Frank Hutter, Tonio Ball
We apply convolutional neural networks (ConvNets) to the task of distinguishing pathological from normal EEG recordings in the Temple University Hospital EEG Abnormal Corpus.
1 code implementation • 5 Jun 2018 • Robin Tibor Schirrmeister, Patryk Chrabąszcz, Frank Hutter, Tonio Ball
This first attempt to use RevNets inside the adversarial autoencoder framework slightly underperformed relative to recent advanced generative models using an autoencoder component on CelebA, but this gap may diminish with further optimization of the training setup of generative RevNets.
1 code implementation • 11 Feb 2020 • Lukas Alexander Wilhelm Gemein, Robin Tibor Schirrmeister, Patryk Chrabąszcz, Daniel Wilson, Joschka Boedecker, Andreas Schulze-Bonhage, Frank Hutter, Tonio Ball
The results demonstrate that the proposed feature-based decoding framework can achieve accuracies on the same level as state-of-the-art deep neural networks.
1 code implementation • 22 Sep 2023 • Lukas AW Gemein, Robin T Schirrmeister, Joschka Boedecker, Tonio Ball
Furthermore, the brain age gap biomarker is not indicative of pathological EEG.
no code implementations • 20 Jul 2017 • Felix Burget, Lukas Dominique Josef Fiederer, Daniel Kuhner, Martin Völker, Johannes Aldinger, Robin Tibor Schirrmeister, Chau Do, Joschka Boedecker, Bernhard Nebel, Tonio Ball, Wolfram Burgard
As our results demonstrate, our system is capable of adapting to frequent changes in the environment and reliably completing given tasks within a reasonable amount of time.
no code implementations • 4 May 2018 • Martin Völker, Jiří Hammer, Robin T. Schirrmeister, Joos Behncke, Lukas D. J. Fiederer, Andreas Schulze-Bonhage, Petr Marusič, Wolfram Burgard, Tonio Ball
Deep learning techniques have revolutionized the field of machine learning and were recently successfully applied to various classification problems in noninvasive electroencephalography (EEG).
no code implementations • 25 Oct 2017 • Martin Völker, Robin T. Schirrmeister, Lukas D. J. Fiederer, Wolfram Burgard, Tonio Ball
We recorded high-density EEG in a flanker task experiment (31 subjects) and an online BCI control paradigm (4 subjects).
no code implementations • 21 Nov 2017 • Kay Gregor Hartmann, Robin Tibor Schirrmeister, Tonio Ball
Our findings thus provide insights into how ConvNets hierarchically represent spectral EEG features in their intermediate layers and suggest that ConvNets can exploit and might help to better understand the compositional structure of EEG time series.
no code implementations • 16 Nov 2017 • Joos Behncke, Robin Tibor Schirrmeister, Wolfram Burgard, Tonio Ball
Analysis of brain signals from a human interacting with a robot may help identifying robot errors, but accuracies of such analyses have still substantial space for improvement.
no code implementations • 4 Aug 2017 • Dominik Welke, Joos Behncke, Marina Hader, Robin Tibor Schirrmeister, Andreas Schönau, Boris Eßmann, Oliver Müller, Wolfram Burgard, Tonio Ball
Our findings suggest that non-invasive recordings of brain responses elicited when observing robots indeed contain decodable information about the correctness of the robot's action and the type of observed robot.
no code implementations • 15 Dec 2015 • Sebastian Weichwald, Bernhard Schölkopf, Tonio Ball, Moritz Grosse-Wentrup
Pattern recognition in neuroimaging distinguishes between two types of models: encoding- and decoding models.
no code implementations • 14 Dec 2015 • Sebastian Weichwald, Timm Meyer, Bernhard Schölkopf, Tonio Ball, Moritz Grosse-Wentrup
While invasively recorded brain activity is known to provide detailed information on motor commands, it is an open question at what level of detail information about positions of body parts can be decoded from non-invasively acquired signals.
no code implementations • 15 Nov 2015 • Sebastian Weichwald, Timm Meyer, Ozan Özdenizci, Bernhard Schölkopf, Tonio Ball, Moritz Grosse-Wentrup
Causal terminology is often introduced in the interpretation of encoding and decoding models trained on neuroimaging data.
no code implementations • 18 Jun 2018 • Felix A. Heilmeyer, Robin T. Schirrmeister, Lukas D. J. Fiederer, Martin Völker, Joos Behncke, Tonio Ball
EEG is the most common signal source for noninvasive BCI applications.
no code implementations • 17 Jul 2019 • Robin Tibor Schirrmeister, Tonio Ball
In this manuscript, we investigate deep invertible networks for EEG-based brain signal decoding and find them to generate realistic EEG signals as well as classify novel signals above chance.
no code implementations • 24 Sep 2021 • Marcello Ienca, Joseph J. Fins, Ralf J. Jox, Fabrice Jotterand, Silja Voeneky, Roberto Andorno, Tonio Ball, Claude Castelluccia, Ricardo Chavarriaga, Hervé Chneiweiss, Agata Ferretti, Orsolya Friedrich, Samia Hurst, Grischa Merkel, Fruzsina Molnar-Gabor, Jean-Marc Rickli, James Scheibner, Effy Vayena, Rafael Yuste, Philipp Kellmeyer
The increasing availability of brain data within and outside the biomedical field, combined with the application of artificial intelligence (AI) to brain data analysis, poses a challenge for ethics and governance.
no code implementations • 20 Oct 2018 • Fereshteh Lagzi, Tonio Ball, Joschka Boedecker
This criterion is based on the convergence of the neural dynamics in the last two successive layers of the residual block.
no code implementations • 14 Jan 2022 • Robin Tibor Schirrmeister, Rosanne Liu, Sara Hooker, Tonio Ball
To answer these questions, we need a clear measure of input simplicity (or inversely, complexity), an optimization objective that correlates with simplification, and a framework to incorporate such objective into training and inference.
no code implementations • 19 Jan 2022 • Philipp Kellmeyer, Roland Berkemeier, Tonio Ball
As most fMRI studies only use a single filter for analysis, much information on the size and shape of the BOLD signal in Gaussian scale space remains hidden and constrains the interpretation of fMRI studies.
no code implementations • 20 Dec 2022 • Daniel Wilson, Robin Tibor Schirrmeister, Lukas Alexander Wilhelm Gemein, Tonio Ball
Our study aims to lay the groundwork in the area of these topics through the analysis of DRNs for EEG with a wide range of hyperparameters.