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Schönfelder, V.H., and Wichmann, F.A. (2012). Sparse regularized regression identifies behaviorally-relevant stimulus features from psychophysical data [23]. The Journal of the Acoustical Society of America, 3953-3969.


Schönfelder, V., and Wichmann, F. (2013). Identification of stimulus cues in narrow-band tone-in-noise detection using sparse observer models [24]. Journal of the Acoustic Society of America, 447-463.


Schoenfelder, V. (2013). Identification of Stimulus Cues in Tone-in-Noise Detection with Sparse Logistic Regression [25]. Technische Universität Berlin


Schmuker, M., Häusler, C., and Nawrot, M. (2010). Neuromorphic classifier microcircuits [26]. Front. Comput. Neurosci. Conference Abstract: Bernstein Conference on Computational Neuroscience.


Schmuker, M., Häusler, C., Brüderle, D., Nawrot, M.P. (). Benchmarking the impact of information processing in the insect olfactory system with a neuromorphic classifier [27]. Twentieth Annual Computational Neuroscience Meeting CNS*2011, Stockholm, July 23-28, BMC Neuroscience 2011


Schmuker, M., Häusler, C., Nawrot, M.P. (). The honeybee olfactory system as a template for better neuromorphic classifiers [28]. 9th Göttingen Meeting of the German Neuroscience Society, March 23-27


Schmidt, T.T., Ostwald, D., Blankenburg, F. (2013). Imaging Tactile Imagery: changes in functional connectivity characterize perceptual grounding [29]. Poster: 19th Annual Meeting of the Organization for Human Brain Mapping, Talk: Mind and Brain Symposium 2013


Schleimer, J.-H., and Stemmler, M. (2008). Phase dynamics of oscillatory neurons and neural coding [30]. Front. Comput. Neurosci.


Schleimer, J.-H., Rokem, A., and Stemmler, M. (2008). Optimal phase dynamics of oscillatory neurons, the spike-triggered stimulus covariance, and maximal information transfer [31].


Schleimer, J.-H., and Stemmler, M. (2009). Neuronal Phase Response Curves for Maximal Information Transmission [32]. Bernstein Conference on Computational Neuroscience in Frankfurt


Schleimer, J.-H., and Stemmler, M. (2009). Coding of Information in Limit Cycle Oscillators [33]. Phys. Rev. Lett. 2009 Dec 11;103(24):248105, 248105.


Schleimer, J.H. (2013). Spike statistics and coding properies of phase models – From ion channels to neural coding [34]. Humboldt-Universität zu Berlin


Schleimer, J.-H., and Stemmler, M. (2010). Predicting the spike-triggered covariance from phase resetting curves [35]. Proceedings BCCN


Schleimer, J.-H., and Stemmler, M. (2012). Phase reduction of noisy Hodgkin-Huxely models [36]. 60 Years of Hodgkin & Huxley


Schleimer, J.-H., and Schreiber, S. (2012). From stochastic ion channel dynamics to neural response [37]. FENS-EBRO Winter School


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