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Electrical Engineering and Computer ScienceSensory Computation in Neural Systems
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Schönfelder, V.H., and Wichmann, F.A. (2012). Sparse regularized regression identifies behaviorally-relevant stimulus features from psychophysical data. The Journal of the Acoustical Society of America, 3953-3969.
Samek, W., Müller, K.-R., Kawanabe, M., and Vidaurre, C. (2012). Brain-computer interfacing in discriminative and stationary subspaces. 34th annual international conference of the IEEE engineering in medicine and biology society (EMBS)
Samek, W., Vidaurre, C., Müller, K.-R., and Kawanabe, M. (2012). Stationary common spatial patterns for brain-computer interfacing. Journal of Neural Engineering, 026013.
Rost, T., Riehle, A., Nawrot, M.P. (2012). A model of Trial-to-Trial Variability in Monkey Motor Cortex. 10th International Workshop on Neural Coding, Prague, Czech Republic, Sep 2-7, 2012
Clemens, J. (2012). Neural computation in small sensory systems. Lessons on sparse and adaptive coding. Humboldt-Universität zu Berlin
Görgen, K. (2012). Exploring brain-to-brain-connectivity - How hyperscanning can help us advance communication neuroscience. Invited Talk at the Donders Discussion Conference 2012, Nijmegen, The Netherlands
Görgen, K. (2012). Multivariate decoding of neural data: Introduction and hands-on. Selected talk at the IK2012 Meeting, Günne, Germany
Görgen, K., Hebart, M.N., and Haynes, J.-D. (2012). The Decoding Toolbox (TDT): An easy-to-use decoding package for fMRI data. Conference of the Human Brain Mapping Organization, Beijing, China
Hackmack, K. (2012). Decoding Multiple Sclerosis and Related Disease Parameters Using Structural Brain MRI and Multivariate Analysis Algorithms. BCCN/ Charité Berlin
Hackmack, K., Weygandt, M., Wuerfel, J., Pfueller, C., Bellmann-Strobl, J., Paul, F., and Haynes, J.-D. (2012). can we overcome the clinico-radiological paradox in multiple sclerosis?. Journal of Neurology, 2151-60.
Hackmack, K., Paul, F., Weygandt, M., Allefeld, C., and Haynes, J.-D. (2012). Multi-scale classification of disease using structural MRI and wavelet transform. 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. 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. NIPS Workshop on Machine Learning and Inference in Neuroimaging
Oganian, Y., and Ahissar, M. (2012). Poor anchoring limits dyslexics' perceptual, memory, and reading skills. Neuropsychologia, 1895-1905.
Schillaci, G., Bodiroža, S., Hafner, V.V. (2012). Evaluating the eect of saliency detection and attention manipulation in human-robot interaction. International Journal of Social Robotics, 139-152.
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