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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. Neuroforum

Helgadottir, L.I., Haenicke, J., Landgraf, T., and Nawrot, M.P. (2012). A robotic platform for spiking neural control architectures. 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. 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. 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. Journal of Neural Engineering, 045003.


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

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

Jaramillo, J. et al. (2010). Inheritance for phase precession. 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. 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. Neural Computation


Meckenhäuser, G., Hennig, R.M., and Nawrot, M.P. (2013). Critical song features for auditory pattern recognition in crickets. 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. 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. 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. 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. Magnetic Resonance Imaging, 1095-1103.

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