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Hackmack, K., Paul, F., Weygandt, M., Allefeld, C., and Haynes, J.-D. (2012). Multi-scale classification of disease using structural MRI and wavelet transform [23]. Neuroimage

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 [24]. Neuroimage

Bießmann, F., Dähne, S., Meinecke, F.C., Blankertz, B., Görgen, K., Müller, K.-R., and Haufe, S. (2012). On the interpretability of linear multivariate neuroimaging analyses: Filters, patterns and their relationship [25]. NIPS Workshop on Machine Learning and Inference in Neuroimaging

Oganian, Y., and Ahissar, M. (2012). Poor anchoring limits dyslexics' perceptual, memory, and reading skills [26]. Neuropsychologia, 1895-1905.

Schillaci, G., Bodiroža, S., Hafner, V.V. (2012). Evaluating the e ect of saliency detection and attention manipulation in human-robot interaction [27]. International Journal of Social Robotics, 139-152.

Bodiroža, S., Stern, H.I., and Edan, Y. (2012). Dynamic gesture vocabulary design for intuitive human-robot dialog [28]. Proceedings of the 2012 7th ACM/IEEE International Conference on Human-Robot Interaction, 111-12.

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 [29]. Neuroforum

Samek, W., Müller, K.-R., Kawanabe, M., and Vidaurre, C. (2012). Brain-computer interfacing in discriminative and stationary subspaces [30]. Proceedings of 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2873-2876.

Schleimer, J.-H., and Stemmler, M. (2012). Phase reduction of noisy Hodgkin-Huxely models [31]. 60 Years of Hodgkin & Huxley

Schleimer, J.-H., and Schreiber, S. (2012). From stochastic ion channel dynamics to neural response [32]. FENS-EBRO Winter School

Roemschied, F.A., Eberhard, M., Schleimer, J., Ronacher, B., and Schreiber, S. (2012). Transduction e ects on temperature-invariance of grasshopper auditory receptor neuron spike rates [33]. 60 years of the Hodgkin-Huxley model, 65.

Roemschied, F.A., Eberhard, M., Schleimer, J., Ronacher, B., and Schreiber, S. (2012). Combining sensitivity analysis with dimensional stacking to identify and visualize functional dependencies in conductance-based neuron model data [34]. Bernstein Conference

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 [35]. Neuroscience Meeting Planner, 18.

Balta, S., Beck, A., Deserno, L., Heinz, A., and Obermayer, K. (2012). Computational modeling of probabilistic reversal learning in alcohol use disorder [36]. 2012 Neuroscience Meeting Planner. New Orleans, LA: Society for Neuroscience (online)

Guggenmos, M., Rothkirch, M., Obermayer, K., Haynes, J.-D, and Sterzer, P. (2012). Neural correlates of perceptual learning of objects in the hippocampus [37]. Perception, 126.

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