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Blythe, D., Samek, W., and Müller, K.-R. (2011). Stationary linear discriminant analysis - Classifying non-stationary features in brain-computer interfacing [23]. Front. Comput. Neurosci. Conference Abstract: Bernstein Conference on Computational Neuroscience

Blythe, D.A.J., Meinecke, C., von Bünau, P., and Müller, K.-R. (2013). Explorative data analysis for changes in neural activity [24]. Journal of Neural Engineering, 026018.

Bodiroža, S., Schillaci, G., and Hafner, V. (2011). Robot ego-sphere: An approach for saliency detection and attention manipulation in humanoid robots for intuitive interaction [25]. Proceedings of the 2011 11th IEEE-RAS International Conference on Humanoid Robots, 689-694.

Bodiroža, S. (2011). Using image depth information for fast face detection [26]. Towards Autonomous Robotic Systems, Lecture Notes in Computer Science. Springer Berlin Heidelberg, 424-425.

Bodiroža, S., Stern, H.I., and Edan, Y. (2012). Dynamic gesture vocabulary design for intuitive human-robot dialog [27]. Proceedings of the 2012 7th ACM/IEEE International Conference on Human-Robot Interaction, 111-12.

Bodiroža, S., Doisy, G., and Hafner, V.V. (2013). Position-invariant, real-time gesture recognition based on dynamic time warping [28]. Proceedings of the 2013 8th ACM/IEEE International Conference on Human-Robot Interaction, 87-8.

Bodiroža, S., Stern, H.I., Hafner, V.V., and Edan, Y. (2012). A diachronic approach for human-humanoid discourse [29]. 5th Conference of International Society for Gesture Studies


Clemens, J., Weschke, G., Vogel, A., and Ronacher, B. (2010). Intensity invariance properties of auditory neurons compared to the statistics of relevant natural signals in grasshoppers [30]. Journal of Comparative Physiology A, 285-297.

Clemens, J., Kutzki, O., Ronacher, B., Schreiber, S., and Wohlgemuth, S. (2011). Ecient transformation of an auditory population code [31]. Proceedings of the National Academy of Sciences of the United States of America (PNAS), 13812-13817.

Clemens, J., Wohlgemuth, S., and Ronacher, B. (2012). Nonlinear computations underlying temporal and population sparseness in the auditory system of the grasshopper [32]. Journal of Neuroscience, 10053-10062.

Clemens, J., and Ronacher, B. (2013). Feature extraction and integration underlying perceptual decision making during courtship behavior [33]. Journal of Neuroscience, 12136-12145.

Clemens, J., and Hennig, R.M. (2013). Computational principles underlying the recognition of acoustic signals in insects [34]. Journal of Computational Neuroscience, 75-85.

Clemens, J., Rau, F., Hennig, M. (2011). Complex interactions between stimulus components in the auditory network of the cricket - consequences for coding and mechanism [35]. Frontiers in Computational Neuroscience. Conference Abstract: BC11 : Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting 2011

Clemens, J., Rau, F., Hildebrandt, J., and Hennig, M. (2012). Adaptive sharpening of tuning in the auditory system of the cricket [36]. Computational and Systems Neuroscience 2012

Clemens, J. (2010). The early auditory system of grasshoppers sparsens and decorrelates the neural representation of song [37].

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