Susemihl, A.K., Meir R., and Opper, M. (2013). Dynamic state estimation based on Poisson spike trains: Towards a theory of optimal encoding [23]. Journal of Statistical Mechanics: Theory and Experiments

Pangalos, M., Donoso, J.R., Winterer, J., Zivkovic, A.R., Kempter, R., Maier, N., and Schmitz, D. (2013). Recruitment of oriens-lacunosum-moleculare interneurons during hippocampal ripples [24]. Proc. Natl. Acad. Sci. USA, 4398-4403.

Samek, W., Blythe, D., Müller, K.-R., and Kawanabe, M. (2013). Robust spatial filtering with beta divergence [25]. Advances in Neural Information Processing Systems

Kawanabe, M., Samek, W., Müller, K.-R., Vidaurre, C. (2013). Robust common spatial filters with a maxmin approach [26]. Neural Computation

Häusler, C., Susemihl, A.K., and Nawrot, M.P. (2013). Natural image sequences constrain dynamic receptive elds and imply a sparse code [27]. Brain Research

Seymour, K., Stein, T., Sanders, L.L.O., Guggenmos, M., Theophil, I., and Sterzer, P. (2013). Altered contextual modulation of primary visual cortex responses in schizophrenia [28]. Neuropsychopharmacology, 1-6.

Droste, F., Schwalger, T., and Lindner, B. (2013). Interplay of two signals in a neuron with heterogeneous synaptic short-term plasticity [29]. Frontiers in Computational Neuroscience, 86.

Pröpper, R., and Obermayer, K. (2013). Spyke Viewer: a exible and extensible platform for electrophysiological data analysis [30]. Frontiers in Neuroinformatics

Garcia, S., Dejean, C., Estebanez, L., Guarino, D., Jaillet, F., Jennings, T., Mahnoun, Y., Pröpper, R., Rautenberg, P., Rodgers, C., Sobolev, A., Wachtler, T., Yger, P., and Davison, A.P. (2013). Neo: a universal object model for handling electrophysiology data in multiple formats [31]. Frontiers in Neuroinformatics

Bodiroža, S., Doisy, G., and Hafner, V.V. (2013). Position-invariant, real-time gesture recognition based on dynamic time warping [32]. Proceedings of the 2013 8th ACM/IEEE International Conference on Human-Robot Interaction, 87-8.

Doisy, G., Bodiroža, S., and Jetvić, A. (2013). Spatially unconstrained, gesture-based humanrobot interaction [33]. Proceedings of the 2013 8th ACM/IEEE International Conference on Human-Robot Interaction, 117-118.

Blythe, D.A.J., Meinecke, C., von Bünau, P., and Müller, K.-R. (2013). Explorative data analysis for changes in neural activity [34]. Journal of Neural Engineering, 026018.

Spitzer, B., Gloel, M., Schmidt, T.T., and Blankenburg, F. (2013). Working memory coding of analog stimulus properties in the human prefrontal cortex [35]. Cerebral Cortex

Rea, E., Rummel, J., Schmidt, T.T., Hadar, R., Heinz, A., Mathe, A.A., and Winter, C. (2013). Anti-anhedonic eect of deep brain stimulation of the prefrontal cortex and the dopaminergic reward system in a genetic rat model of depression: an intracranial self-stimulation paradigm study [36]. Brain Stimulation

Schönfelder, V., and Wichmann, F. (2013). Identification of stimulus cues in narrow-band tone-in-noise detection using sparse observer models [37]. Journal of the Acoustic Society of America, 447-463.