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Peer-reviewed
- Baeuchl, C.; Kroemer, N.; Pooseh, S.; Petzold, J.; Bitzer, S.; Thurm, F.; Li, S. & Smolka, M. N. Reward modulates the association between sensory noise and brain activity during perceptual decision-making. Neuropsychologia, 2020
- Bitzer, S.; Park H.; Maess, B.; von Kriegstein, K. & Kiebel, S. J. Representation of Perceptual Evidence in the Human Brain Assessed by Fast, Within-Trial Dynamic Stimuli. Front Hum Neurosci, 2020, 14, 9
- Mohr, H.; Zwosta K.; Markovic, D.; Bitzer, S.; Wolfensteller, U. & Ruge, H. Deterministic response strategies in a trial-and-error learning task. PLOS Computational Biology, 2018, 14, 11
- Fard, P. R.; Park, H.; Warkentin, A.; Kiebel, S. J. & Bitzer, S. A Bayesian Reformulation of the Extended Drift-Diffusion Model in Perceptual Decision Making. Frontiers in computational neuroscience, 2017, 11, 29
- Grellmann, C.; Neumann, J.; Bitzer, S.; Kovacs, P.; Tönjes, A.; Westlye, L. T.; Andreassen, O. A.; Stumvoll, M.; Villringer, A. & Horstmann, A. Random Projection for fast and efficient multivariate correlation analysis of high-dimensional data: A new approach. Front Genet, 2016, 7, 102
- Park, H.; Lueckmann, J.-M.; von Kriegstein, K.; Bitzer, S. & Kiebel S. J. Spatiotemporal dynamics of random stimuli account for trial-to-trial variability in perceptual decision making. Sci Rep, 2016, 6, 18832
- Cuevas Rivera, D.; Bitzer, S. & Kiebel, S. J. Modelling Odor Decoding in the Antennal Lobe by Combining Sequential Firing Rate Models with Bayesian Inference. PLoS Comput Biol, 2015, 11, e1004528
- Bitzer, S. & Kiebel, S. J. The Brain Uses Reliability of Stimulus Information when Making Perceptual Decisions. in: Advances in Neural Information Processing Systems 28 (NIPS 2015), 2015, arXiv preprint
- Bitzer, S.; Bruineberg, J. & Kiebel, S. J. A Bayesian Attractor Model for Perceptual Decision Making. PLoS Comput Biol, 2015, 11, e1004442
- Grellmann, C.; Bitzer, S.; Neumann, J.; Westlye, L. T.; Andreassen, O. A.; Villringer, A. & Horstmann, A. Comparison of variants of canonical correlation analysis and partial least squares for combined analysis of MRI and genetic data. Neuroimage, 2015, 107, 289-310
- Trapp, S.; Shenhav, A.; Bitzer, S. & Bar, M. Human preferences are biased towards associative information. Cogn Emot, 2014, 1-15
- Thiel, S. D.; Bitzer, S.; Nierhaus, T.; Kalberlah, C.; Preusser, S.; Neumann, J.; Nikulin, V. V.; van der Meer, E.; Villringer, A. & Pleger, B. Hysteresis as an implicit prior in tactile spatial decision making. PLoS One, 2014, 9, e89802
- Bitzer, S.; Park, H.; Blankenburg, F. & Kiebel, S. J. Perceptual decision making: Drift-diffusion model is equivalent to a Bayesian model. Frontiers in Human Neuroscience, 2014, 8
- Bitzer, S. & Kiebel, S. Recognizing recurrent neural networks (rRNN): Bayesian inference for recurrent neural networks. Biological Cybernetics, 2012, 106, 201-217
- Bitzer, S. & Williams, C. K. I. Kick-starting GPLVM optimization via a connection to metric MDS. In Proceedings of the NIPS 2010 Workshop on Challenges of Data Visualization, 2010.
- Bitzer, S.; Howard, M. & Vijayakumar, S. Using Dimensionality Reduction to Exploit Constraints in Reinforcement Learning. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2010.
- Bitzer, S.; Klanke, S. & Vijayakumar, S. Does Dimensionality Reduction Improve the Quality of Motion Interpolation? In Proceedings of the 17th European Symposium on Artificial Neural Networks (ESANN), 2009.
- Bitzer, S. & Vijayakumar, S. Latent Spaces for Dynamic Movement Primitives. In Proceedings of the 9th IEEE-RAS International Conference on Humanoid Robots (Humanoids), 2009.
- Bitzer, S.; Havoutis, I. & Vijayakumar, S. Synthesising Novel Movements through Latent Space Modulation of Scalable Control Policies. In Lecture Notes in Computer Science (pp. 199-209), 2008.
- Hoffmann, H., Petkos, G., Bitzer, S., & Vijayakumar, S. Sensor assisted adaptive motor control under continuously varying context. In Proceedings of the International Conference on Informatics in Control, Automation, and Robotics (ICINCO), 2007
- Bitzer, S. & van der Smagt, P. Learning EMG control of a robotic hand: towards active prostheses. In Proceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2006.
Technical Reports
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