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Electrical Engineering and Computer ScienceSensory Computation in Neural Systems
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Jaramillo, J. et al. (2012). Coordination of phase precession in the hippocampus. Physics, Computation, and the Mind, La Herradura, Spain. Conference Abstract
Haenicke, J., Pamir, E., and Nawrot, M.P. (2012). A spiking neuronal network model of fast associative learning in the honeybee. Bernstein Conference proceedings [F95]
Helgadottir, L.I., Haenicke, J., Landgraf, T., and Nawrot, M.P. (2012). A robotic platform for spiking neural control architectures. Bernstein Conference proceedings [F128]
Bießmann, F. (2012). Data-driven analysis for multimodal neuroimaging. Technische Universität Berlin
Bießmann, F., Murayama, Y., Logothetis, N.K., Müller, K.-R., and Meinecke, F.C. (2012). Spatiotemporal searchlights improve decoding of intracranial neural activity from fMRI signals. to appear in Lecture Notes in Artificial Intelligence
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.
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