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Journal Publications by GRK members

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Porbadnigk, A.K., Antons, J.-N., Blankertz, B., Treder, M.S., Schleicher, R., Möller, S., and Curio, G. (2010). Assessing the (sub)conscious processing of noise based on ERPs. Front. in Comp. Neurosci.


Pröpper, R., and Obermayer, K. (2013). Analyzing electrophysiology and simulation data with Spyke Viewer. Neuroinformatics (accepted)


Pröpper, R., and Obermayer, K. (2013). Spyke Viewer: a exible and extensible platform for electrophysiological data analysis. Frontiers in Neuroinformatics


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Reverberi, C., Görgen, K., and Haynes, J.-D. (2012). Distributed representations of rule identity and rule order in human frontal cortex and striatum. J. Neurosci., 17420-17430.


Reverberi, C., Görgen, K., and Haynes, J.-D. (2011). Compositionality of Rule Representations in Human Prefrontal Cortex. Cerebral Cortex


Roemschied, F., Eberhard, M., Schleimer, J., Ronacher, B., and Schreiber, S. (2012). Conductance-based mechanisms and metabolic cost of temperature-compensated spike-rates in single auditory receptor-neurons of the grasshopper. Neuroscience Meeting Planner, 18.


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Samek, W., Vidaurre, C., Müller, K.-R., and Kawanabe, M. (2012). Stationary common spatial patterns for brain-computer interfacing. Journal of Neural Engineering, 026013.


Samek, W., Blythe, D., Müller, K.-R., and Kawanabe, M. (2013). Robust spatial filtering with beta divergence. Advances in Neural Information Processing Systems


Schillaci, G., Bodiroža, S., Hafner, V.V. (2012). Evaluating the e ect of saliency detection and attention manipulation in human-robot interaction. International Journal of Social Robotics, 139-152.


Schleimer, J.-H., and Stemmler, M. (2009). Coding of Information in Limit Cycle Oscillators. Phys. Rev. Lett. 2009 Dec 11;103(24):248105, 248105.


Schmuker, M., Häusler, C., and Nawrot, M. (2010). Neuromorphic classifier microcircuits. Front. Comput. Neurosci. Conference Abstract: Bernstein Conference on Computational Neuroscience.


Schönfelder, V., and Wichmann, F.A. (2012). Sparse regularized regression identi es behaviorally-relevant stimulus features from psychophysical data. Journal of the Acoustical Society of America, 3953-3969.


Schönfelder, V.H., and Wichmann, F.A. (2013). Identi cation of stimulus cues in narrow-band tone-in-noise detection using sparse observer models. Journal of the Acoustical Society of America, 447-463.


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


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