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Heinzle, J., Anders, S., Bode, S., Bogler, C., Chen, Y., Cichy, R.M., Hackmack, K., Kahnt, T., Kalberlah, C., Reverberi, C., Soon, C.S. Tusche, A., Weygandt, M., and Haynes, J.-D. (2012). Multivariate Dekodierung von fMRT-Daten: Auf dem Weg zu einer inhaltsbasierten kognitiven Neurowissenschaft [23]. Neuroforum

Helgadottir, L.I., Haenicke, J., Landgraf, T., and Nawrot, M.P. (2012). A robotic platform for spiking neural control architectures [24]. Bernstein Conference proceedings [F128]

Helgadottir, L.I., Haenicke, J., Landgraf, T., Rojas, R., and Nawrot, M.P. (2013). Conditioned behavior in a robot controlled by a spiking neural network [25]. Conference paper, 6th International IEEE EMBS Conference on Neural Engineering

Hill, J., Farquhar, J., Martens, S.M.M., Bießmann, F., and Schölkopf, B. (2008). Effects of Stimulus Type and of Error-Correcting Code Design on BCI Speller Performance [26]. Advances in Neural Information Processing Systems, 665-673.

Höhne, J., Krenzlin, K., Dähne, S., and Tangermann, M. (2013). Natural stimuli improve auditory BCIs with respect to ergonomics and performance [27]. Journal of Neural Engineering, 045003.


Jain, B.J., Srinivasan, S.D., Tissen, A., and Obermayer, K. (2010). Learning graph quantization [28]. Proceedings SSPR/SPR, Lecture Notes in Computer Science, 119-128.

Jaramillo, J. et al. (2012). Coordination of phase precession in the hippocampus [29]. Physics, Computation, and the Mind, La Herradura, Spain. Conference Abstract

Jaramillo, J. et al. (2010). Inheritance for phase precession [30]. Front. Comput. Neurosci. Conference Abstract: Bernstein Conference on Computational Neuroscience


Kawanabe, M., Samek, W., von Bünau, P., and Meinecke, F. (2011). An information geometrical view of stationary subspace analysis [31]. Artificial Neural Networks and Machine Learning – ICANN 2011. Springer Berlin / Heidelberg, 397-404.

Kawanabe, M., Samek, W., Müller, K.-R., Vidaurre, C. (2013). Robust common spatial filters with a maxmin approach [32]. Neural Computation


Meckenhäuser, G., Hennig, R.M., and Nawrot, M.P. (2013). Critical song features for auditory pattern recognition in crickets [33]. PLoS ONE

Meckenhäuser, G., Hennig, R.M., and Nawrot, M.P. (2011). Evaluating the importance of di erent temporal features of calling songs in cricket phonotaxis [34]. Frontiers in Computational Neuroscience. Conference Abstract: BC11 : Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting

Meckenhäuser, G., Hennig, R.M., and Nawrot, M.P. (2011). Modeling phonotaxis in female Gryllus bimaculatus with arti cial neural networks [35]. BMC Neuroscience, 234.

Meyer, J., Haenicke, J., Landgraf, T., Schmuker, M., Rojas, R., and Nawrot, M.P. (2011). A digital receptor neuron connecting remote sensor hardware to spiking neural networks [36]. Bernstein Conference proceedings [W84]

Murayama, Y., Bießmann, F., Meinecke, F.C., Müller, K.R. , Augath, M., Öltermann, A., and Logothetis, N. K. (2010). Relationship between Neural and Hemodynamic Signals during Spontaneous Activity Studied with Temporal Kernel CCA [37]. Magnetic Resonance Imaging, 1095-1103.

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