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Journal Publications by GRK members

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2011

Clemens, J., Kutzki, O., Ronacher, B., Schreiber, S., and Wohlgemuth, S. (2011). Efficient transformation of an auditory population code in a small sensory system [12]. PNAS, 13812-17.


Almeida, M., Schleimer, J.-H., Bioucas-Dias, J.M., and Vigario, R. (2011). Source Separation and Clustering of Phase-Locked Subspaces [13]. Neural Networks, 1419-34.


Weygandt, M.*, Hackmack, K.*, Pfueller, C.F., Bellmann-Strobl, J., Paul, F.,, Zipp, F., and Haynes, J.-D. (2011). MRI Pattern Recognition in Multiple Sclerosis Normal-Appearing Brain Areas [14]. PLoS One


Clemens, J., Kutzki, O., Ronacher, B., Schreiber, S., and Wohlgemuth, S. (2011). Ecient transformation of an auditory population code [15]. Proceedings of the National Academy of Sciences of the United States of America (PNAS), 13812-13817.


Wacker, E., Spitzer, B., Lützkendorf, R., Bernarding, J., and Blankenburg, F. (2011). Tactile motion and pattern processing assessed with high- eld fMRI [16]. PLoS One, e24860.


Porbadnigk, A.K., Antons, J.N., Treder, M.S., Blankertz, B., Schleicher, R., Möller, S., and Curio, G. (2011). ERP assessment of word processing under broadcast bit rate limitations [17]. Neuroscience Letters, e49.


Onken, A., Dragoi, V., and Obermayer, K. (2011). maximum entropy test for evaluating higherorder correlations in spike counts [18]. PLoS Computational Biology, e1002539.


Dähne, S., Müller, K.-R., and Tangermann, M. (2011). Slow feature analysis as a potential preprocessing tool in BCI [19]. International Journal of Bioelectromagnetism, 100-101.


Meckenhäuser, G., Hennig, R.M., and Nawrot, M.P. (2011). Modeling phonotaxis in female Gryllus bimaculatus with arti cial neural networks [20]. BMC Neuroscience, 234.


Schönfelder, V.H., and Wichmann, F.A. (2011). Extracting auditory cues in tone-in-noise detection with a sparse feature selection algorithm [21]. Front. Comput. Neurosci.


Pamir, E. et al. (2011). Average group behavior does not represent individual behavior in classical conditioning of the honeybee [22]. Learning and Memory


Guggenmos, M., Obermayer, K., Haynes, J.-D., and Sterzer, P. (2011). Reward reinforcement improves visual perceptual learning of complex objects [23]. Perception, 128.


2010

Wojcikiewicz, W., Vidaurre, C., and Kawanabe, M. (2010). Stationary common spatial patterns for non-stationary EEG data [24]. Front. Comput. Neurosci. Conference Abstract: Bernstein Conference on Computational Neuroscience.


Häusler, C., Nawrot, M. P., and Schmuker, M. (2010). A Neuromorphic Model of Dual Pathway Odour Classification [25]. Front. Comput. Neurosci. Conference Abstract: Bernstein Conference on Computational Neuroscience


Spitzer, B., Wacker, E., and Blankenburg, F. (2010). Oscillatory Correlates of Vibrotactile Frequency Processing in Human Working Memory [26]. J Neurosci., 4496-502.


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