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Onken, A., and Obermayer, K. (2009). A Frank Mixture Copula Family for Modeling Higher-Order Correlations of Neural Spike Counts. J. Phys.: Conf. Ser.. IOP Publishing, 012019.


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. Journal of Comparative Physiology A, 285-297.


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


Porbadnigk, A.K., Görnitz, N., Kloft, M., and Müller, K.-R. (2013). Decoding brain states by supervising unsupervised learning. Journal of Computing Science and Engineering (accepted)


Höhne, J., Krenzlin, K., Dähne, S., and Tangermann, M. (2013). Natural stimuli improve auditory BCIs with respect to ergonomics and performance. Journal of Neural Engineering, 045003.


Samek, W., Vidaurre, C., Müller, K.-R., and Kawanabe, M. (2012). Stationary common spatial patterns for brain-computer interfacing. Journal of Neural Engineering, 026013.


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


Hackmack, K., Weygandt, M., Wuerfel, J., Pfueller, C., Bellmann-Strobl, J., Paul, F., and Haynes, J.-D. (2012). can we overcome the clinico-radiological paradox in multiple sclerosis?. Journal of Neurology, 2151-60.


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


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


Spitzer, B., Wacker, E., and Blankenburg, F. (2010). Oscillatory correlates of vibrotactile frequency processing in human working memory. Journal of Neuroscience, 4496-502.


Susemihl, A.K., Meir R., and Opper, M. (2013). Dynamic state estimation based on Poisson spike trains: Towards a theory of optimal encoding. Journal of Statistical Mechanics: Theory and Experiments


Schönfelder, V., and Wichmann, F. (2013). Identification of stimulus cues in narrow-band tone-in-noise detection using sparse observer models. Journal of the Acoustic Society of America, 447-463.


Schönfelder, V., and Wichmann, F.A. (2012). Sparse regularized regression identi es behaviorally-relevant stimulus features from psychophysical data. Journal of the Acoustical Society of America, 3953-3969.


Schönfelder, V.H., and Wichmann, F.A. (2013). Identi cation of stimulus cues in narrow-band tone-in-noise detection using sparse observer models. Journal of the Acoustical Society of America, 447-463.


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