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Ziehm, U., Jannis Hildebrandt, J., and Benda, J. (2009). Intensity Invariance Emerging in a Feed Forward Network [22]. Abstracts of the Eighth Göttingen Meeting of the German Neuroscience Society


Ziehm, U., and Benda, J. (2011). Modulation of Information Transmission in a Convergent Sensory Network [23]. Abstracts of the Ninth Göttingen Meeting of the German Neuroscience Society


Ziehm, U., and Benda, J. (2010). Spike Frequency Adaptation and Peripheral Intensity Invariance in the Cricket [24].


Ziehm, U., and Benda, J. (2010). Synaptic Saturation Might Shape Adaptation Properties of Cricket Auditory Interneurons [25]. Bernstein Conference on Computational Neuroscience 2010


W

Wojcikiewicz, W., Vidaurre, C., Kawanabe, M. (2011). Stationary Common Spatial Patterns: Towards Robust Classification of Non-Stationary EEG Signals. [26]. Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference, 577-580.


Wojcikiewicz, W. (2011). Single-Trial Classification of EEG Data in Non-Stationary Environments [27]. Joint Workshop of the German Research Training Groups in Computer Science. GITO mbH Verlag, 243.


Wojcikiewicz, W. and Vidaurre, C. and Kawanabe, M. (2011). Stationary common spatial patterns: Towards robust classification of non-stationary EEG signals [28]. Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on, 577-580.


Wojcikiewicz, W., Vidaurre, C., and Kawanabe, M. (2010). Stationary common spatial patterns for non-stationary EEG data [29]. Front. Comput. Neurosci. Conference Abstract: Bernstein Conference on Computational Neuroscience.


Wojcikiewicz, W., Vidaurre, C., and Kawanabe, M. (2011). Improving Classification Performance of BCIs by Using Stationary Common Spatial Patterns and Unsupervised Bias Adaptation [30]. Hybrid Artificial Intelligent Systems. Springer Berlin / Heidelberg, 34-41.


Wojcikiewicz, W., Vidaurre, C., and Kawanabe, M. (2011). Improving classification performance of BCIs by using stationary common spatial patterns and unsupervised bias adaptation [31]. Hybrid artificial intelligent systems. Springer Berlin / Heidelberg, 34-41.


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 [32]. PLoS One


Weygandt, M., Blecker, C., Schaefer, A., Hackmack, K., Vaitl, D, Haynes, J.-D., Schienle, A., and Stark, R. (2012). fMRI pattern recognition in an obsessive-compulsive disorder symptom provocation study [33]. Neuroimage


Waizel, M., Franke, F., Pipa, G., Chen, N., Muckli, L.F., and Obermayer, K. (2009). Neuronal coding challenged by memory load in prefrontal cortex [34]. 39th Annual Meeting of the Society for Neuroscience, SfN2009, Chicago, IL, USA


Waizel, M., Franke, F., Pipa, G., Chen, N., Muckli, L.F., and Obermayer, K. (2009). Neuronal coding challenged by memory load in prefrontal cortex [35]. Front. in Comput. Neurosci.


Wacker, E., Spitzer, B., Lützkendorf, R., Bernarding, J., and Blankenburg, F. (2011). Tactile motion and pattern processing assessed with high- eld fMRI [36]. PLoS One, e24860.


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