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D

Daähne, S., Meinecke, F.C., Haufe, S., Höhne, J., Tangermann, M., Müller, K.-R., and Nikulin, V. (2013). SPoC: a novel framework for relating the amplitude of neuronal oscillations to behaviorally relevant parameters [23]. NeuroImage (in press)


D'Albis, T., Haenicke, J., Strube-Bloss, M.F., Schmuker, M., Menzel, R., and Nawrot, M.P. (2011). Learning-induced changes at the single neuron level predict behavioral performance in the honeybee [24]. Bernstein Conference proceedings [T24]


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 [25]. 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 [26]. 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 [27]. Journal of Neuroscience, 10053-10062.


Clemens, J., and Ronacher, B. (2013). Feature extraction and integration underlying perceptual decision making during courtship behavior [28]. Journal of Neuroscience, 12136-12145.


Clemens, J., and Hennig, R.M. (2013). Computational principles underlying the recognition of acoustic signals in insects [29]. 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 [30]. 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 [31]. Computational and Systems Neuroscience 2012


Clemens, J. (2010). The early auditory system of grasshoppers sparsens and decorrelates the neural representation of song [32].


Clemens, J., Kutzki, O., Ronacher, B., Schreiber, S., and Wohlgemuth, S. (2011). Efficient transformation of an auditory population code in a small sensory system [33]. PNAS, 13812-17.


Clemens, J. (2012). Neural computation in small sensory systems. Lessons on sparse and adaptive coding [34]. Humboldt-Universität zu Berlin


B

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 [35]. 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 [36]. 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 [37]. Proceedings of the 2012 7th ACM/IEEE International Conference on Human-Robot Interaction, 111-12.


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