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Bießmann, F., Meinecke, F.C., Gretton, A., Rauch, A., Rainer, G., Logothetis, N.K., and Müller, K.R. (2010). Temporal kernel CCA and its application in multimodal neuronal data analysis [23]. Machine Learning Journal, 5-27.


Natora, M., Franke, F., Munk, M.H., and Obermayer, K. (2009). Blind Source Separation of Sparse, Overcomplete Mixtures and Application to Neural Recordings [24]. In Proceedings ICA'2009, 459-466.

Pamir, E. et al. (2011). Average group behavior does not represent individual behavior in classical conditioning of the honeybee [25]. Learning and Memory


Dold, H.M.H., Dähne, S., and Wichmann, F.A. (2010). E ects of arbitrary structural choices on the parameters of early spatial vision models [26]. Journal of Vision

Schönfelder, V., and Wichmann, F.A. (2012). Sparse regularized regression identi es behaviorally-relevant stimulus features from psychophysical data [27]. 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 [28]. Journal of the Acoustical Society of America, 447-463.

Schönfelder, V., and Wichmann, F. (2013). Identification of stimulus cues in narrow-band tone-in-noise detection using sparse observer models [29]. Journal of the Acoustic Society of America, 447-463.

Susemihl, A.K., Meir R., and Opper, M. (2013). Dynamic state estimation based on Poisson spike trains: Towards a theory of optimal encoding [30]. Journal of Statistical Mechanics: Theory and Experiments

Clemens, J., Wohlgemuth, S., and Ronacher, B. (2012). Nonlinear computations underlying temporal and population sparseness in the auditory system of the grasshopper [31]. Journal of Neuroscience, 10053-10062.

Clemens, J., and Ronacher, B. (2013). Feature extraction and integration underlying perceptual decision making during courtship behavior [32]. Journal of Neuroscience, 12136-12145.

Spitzer, B., Wacker, E., and Blankenburg, F. (2010). Oscillatory correlates of vibrotactile frequency processing in human working memory [33]. Journal of Neuroscience, 4496-502.

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? [34]. Journal of Neurology, 2151-60.

Höhne, J., Krenzlin, K., Dähne, S., and Tangermann, M. (2013). Natural stimuli improve auditory BCIs with respect to ergonomics and performance [35]. Journal of Neural Engineering, 045003.

Samek, W., Vidaurre, C., Müller, K.-R., and Kawanabe, M. (2012). Stationary common spatial patterns for brain-computer interfacing [36]. 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 [37]. Journal of Neural Engineering, 026018.

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