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Haeusler, C. (2014). The brain as Data Source - Model - Inspiration [23]. Freie Universität Berlin

Clemens, J. (2012). Neural computation in small sensory systems. Lessons on sparse and adaptive coding [24]. Humboldt-Universität zu Berlin

Görgen, K., Hebart, M.N., and Haynes, J.-D. (2012). The Decoding Toolbox (TDT): An easy-to-use decoding package for fMRI data [25]. Conference of the Human Brain Mapping Organization, Beijing, China

Görgen, K., Reverberi, C., and Haynes, J.-D. (2011). Decoding neural representations of rules and rule order [26]. Conference Proceedings of the IK2011 Meeting, Günne, Germany

Dold, H. (2013). On modelling data from visual psychophysics: A Bayesian graphical model approach [27]. Technische Universität Berlin

Hackmack, K. (2012). Decoding Multiple Sclerosis and Related Disease Parameters Using Structural Brain MRI and Multivariate Analysis Algorithms [28]. BCCN/ Charité Berlin

Pamir, E. (2013). From behavioral plasticity to neuronal computation: An investigation of associative learning in the honeybee brain [29]. Freie Universität Berlin

Schleimer, J.H. (2013). Spike statistics and coding properies of phase models – From ion channels to neural coding [30]. Humboldt-Universität zu Berlin

Sonnenschein, B., and Schimansky-Geier, L. (2013). An approximate solution to the stochastic Kuramoto model [31].

Bodiroža, S. (2011). Using image depth information for fast face detection [32]. Towards Autonomous Robotic Systems, Lecture Notes in Computer Science. Springer Berlin Heidelberg, 424-425.


Roemschied, F., Schleimer, J.-H., Eberhard, M., Ronacher, B., and Schreiber, S. (2013). Temperature compensated responses in conductance-based models of grasshopper auditory receptors: ionic mechanisms and metabolic cost [33]. 10th Gottingen Meeting of the German Neuroscience Society, Gottingen, Germany

Rost, T., Riehle, A., Nawrot, M.P. (2012). A model of Trial-to-Trial Variability in Monkey Motor Cortex [34]. 10th International Workshop on Neural Coding, Prague, Czech Republic, Sep 2-7, 2012

Betkiewicz, R., Schmuker, M., Farkhooi, F., and Nawrot, M.P. (2013). A model for sparse and reliable encoding of olfactory cues in the honeybee [35]. 11th Gottingen Meeting of the German Neuroscience Society


Hahne, J.M., Rehbaum, H., Bießmann, F., Meinecke, F.C., Müller, K.-R., Jiang, N., Farina, D., and Parra, L.C. (2012). Simultaneous and proportional control of 2D wrist movements with myoelectric signals. [36]. 2012 IEEE International Workshop on Machine Learning for Signal Processing

Balta, S., Beck, A., Deserno, L., Heinz, A., and Obermayer, K. (2012). Computational modeling of probabilistic reversal learning in alcohol use disorder [37]. 2012 Neuroscience Meeting Planner. New Orleans, LA: Society for Neuroscience (online)

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