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2012

Jaramillo, J. et al. (2012). Coordination of phase precession in the hippocampus [23]. 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 [24]. Bernstein Conference proceedings [F95]


Helgadottir, L.I., Haenicke, J., Landgraf, T., and Nawrot, M.P. (2012). A robotic platform for spiking neural control architectures [25]. Bernstein Conference proceedings [F128]


Bießmann, F. (2012). Data-driven analysis for multimodal neuroimaging [26]. 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 [27]. 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 [28]. 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 [29]. 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 [30]. Journal of Neural Engineering, 026013.


Rost, T., Riehle, A., Nawrot, M.P. (2012). A model of Trial-to-Trial Variability in Monkey Motor Cortex [31]. 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 [32]. Humboldt-Universität zu Berlin


Görgen, K. (2012). Exploring brain-to-brain-connectivity - How hyperscanning can help us advance communication neuroscience [33]. Invited Talk at the Donders Discussion Conference 2012, Nijmegen, The Netherlands


Görgen, K. (2012). Multivariate decoding of neural data: Introduction and hands-on [34]. 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 [35]. 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 [36]. 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? [37]. Journal of Neurology, 2151-60.


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