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B

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


C

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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