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2011

Roemschied, F.A., Ronacher, B., Eberhard, M.J., and Schreiber, S. (2011). Temperature Differentially Affects Subsequent Layers of Auditory Neurons in the Locust [23]. Computational Neuroscience Meeting, Stockholm, Sweden, P287.


Roemschied, F.A., Eberhard, M.J.B., Ronacher, B., and Schreiber, S. (2011). Single-neuron Mechanisms of Temperature Compensation in the Locust Auditory System. Conference abstract and poster presentation [24]. Champalimaud Neuroscience Symposium, Lisbon, Portugal


Kawanabe, M., Samek, W., von Bünau, P., and Meinecke, F. (2011). An information geometrical view of stationary subspace analysis [25]. Artificial Neural Networks and Machine Learning – ICANN 2011. Springer Berlin / Heidelberg, 397-404.


Häusler, C., Nawrot, M. P., and Schmuker, M. (2011). A spiking neuron classifier network with a deep architecture inspired by the olfactory system of the honeybee [26]. 5th International IEEE EMBS Conference on Neural Engineering 2011, Cancun, Mexico


Görgen, K., Reverberi, C., and Haynes, J.-D. (2011). Where- vs. What-Rules & Which Rule When: Two double-dissociations of neural representations of hierarchical rules [27]. Poster presentation at the OCCAM2011 conference, Osnabrück, Germany


Görgen, K., Reverberi, C., and Haynes, J.-D. (2011). Decoding neural representations of rules and rule order [28]. Poster Abstract, ABIM (Alpine Brain Imaging Meeting), Champéry, Switzerland


Görgen, K., Reverberi, C., and Haynes, J.-D. (2011). Two double-dissociations of neural rule representations: where- vs. what-rules & identity vs. priority [29]. Poster Abstract, Bernstein symposium "Bayesian Inference: From Spikes to Behaviour", Tübingen, Germany


Franke, F., Alle, H., Meier, P., Geiger, J., Obermayer, K., and Munk, M.H. (2011). Soring synchronous spikes from 3-dimensional tetrodes [30]. Annual meeting of the Society for Neuroscience, SfN 2011


Eberhard, M.J., Roemschied, F.A., Ronacher, B., and Schreiber, S. (2011). Effect of temperature on auditory receptors, local and ascending interneurons in the locust [31]. 9th Göttingen Meeting of the German Neuroscience Society, Göttingen, Germany, 768.


Bießmann, F., Plis, S.M., Meinecke, F.C., Eichele, T., and Müller, K.R. (2011). Analysis of Multimodal Neuroimaging Data [32]. IEEE Reviews in Biomedical Engineering, 26-58.


Bießmann, F., Murayama, Y., Logothetis, N.K., Müller, K.R., and Meinecke, F.C. (2011). Non-Separable Spatiotemporal Deconvolutions Improve Decoding of Neural Activity from fMRI Signals [33]. NIPS Workshop "Machine Learning and Interpretation in Neuroimaging"


Susemihl, A.K.,Meir, R., and Opper, M. (2011). Analytical results for the error in filtering of Gaussian processes [34]. Advances in Neural Information Processing Systems 24, 2303-2311.


Wojcikiewicz, W., Vidaurre, C., and Kawanabe, M. (2011). Improving classification performance of BCIs by using stationary common spatial patterns and unsupervised bias adaptation [35]. Hybrid artificial intelligent systems. Springer Berlin / Heidelberg, 34-41.


Rost, T., Riehle, A., and Nawrot, M.P. (2011). Variability dynamics in motor cortex differentiate global network state from task related activity [36]. Front. Comput. Neurosci. Conference Abstract: Computational Neuroscience and Neurotechnology Bernstein Conference & Neurex Annual Meeting.


Pamir, E., Schleyer, M., Saumweber, T., Gerber, B., and Nawrot, M.P. (2011). Reverse engineering in Drosophila larvae - Modeling neural control of learned versus innate behavior [37]. Front. Comput. Neurosci. Conference Abstract: Computational Neuroscience and Neurotechnology Bernstein Conference & Neurex Annual Meeting.


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