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Sonnenschein, B., Zaks, M.A., Neiman, A.B., and Schimansky-Geier, L. (2013). How noise and coupling patterns a ect collective dynamics of excitable elements [23]. Conference Abstract at the Bernstein Conference, Tubingen, Germany


Sonnenschein, B., Zaks, M.A., Neiman, A.B., and Schimansky-Geier, L. (2013). Excitable elements controlled by noise and network structure [24]. , 2517-2529.


Sonnenschein, B., and Schimansky-Geier, L. (2012). Onset of synchronization in complex networks of noisy oscillators [25]. Phys. Rev. E


Sonnenschein, B., and Schimansky-Geier, L. (2013). Approximate solution to the stochastic Kuramoto model [26]. Phys. Rev. E. American Physical Society, 052111.


Sonnenschein, B., Sagués, F., and Schimansky-Geier, L. (2013). Networks of noisy oscillators with correlated degree and frequency dispersion [27]. European Physical Journal B, 12.


Sonnenschein, B., and Schimansky-Geier, L. (2013). An approximate solution to the stochastic Kuramoto model [28].


Spitzer, B., Wacker, E., and Blankenburg, F. (2010). Oscillatory correlates of vibrotactile frequency processing in human working memory [29]. Journal of Neuroscience, 4496-502.


Spitzer, B., Goltz, D., Wacker, E., Auksztulewicz, R., and Blankenburg, F. (2013). Maintenance and manipulation of somatosensory information in ventrolateral prefrontal cortex [30]. Human Brain Mapping, Epub: August 2


Spitzer, B., Wacker, E., and Blankenburg, F. (2010). Oscillatory Correlates of Vibrotactile Frequency Processing in Human Working Memory [31]. J Neurosci., 4496-502.


Spitzer, B., Gloel, M., Schmidt, T.T., and Blankenburg, F. (2013). Working memory coding of analog stimulus properties in the human prefrontal cortex [32]. Cerebral Cortex


Srinivasan, S.D. (2011). Representation, Inference, and Learning on Structured Data [33]. TU Berlin


Susemihl, A.K.,Meir, R., and Opper, M. (2011). Analytical results for the error in filtering of Gaussian processes [34]. Advances in Neural Information Processing Systems 24, 2303-2311.


Susemihl, A.K., and Opper, M. (2011). An analytical study of population coding of dynamic stimuli [35]. Front. Comput. Neurosci. Conference Abstract: BC11 : Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting 2011


Susemihl, A.K., Meir R., and Opper, M. (2013). Dynamic state estimation based on Poisson spike trains: Towards a theory of optimal encoding [36]. Journal of Statistical Mechanics: Theory and Experiments


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van Kemenade, B.M., Seymour, K., Wacker, E., Spitzer, B., Blankenburg, F., and Sterzer, P. (2013). Tactile and visual motion direction processing in hMT+/V5 [37]. Neuroimage, Epub: Sep 2012


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