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2011

Susemihl, A.K.,Meir, R., and Opper, M. (2011). Analytical results for the error in filtering of Gaussian processes [23]. 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 [24]. 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 [25]. 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 [26]. Front. Comput. Neurosci. Conference Abstract: Computational Neuroscience and Neurotechnology Bernstein Conference & Neurex Annual Meeting.


Biessmann, F. (2011). Data-driven analysis for multimodal neuroimaging [27]. Technische Universität Berlin


Görgen, K., Reverberi, C., and Haynes, J.-D. (2011). Decoding neural representations of rules and rule order [28]. Conference Proceedings of the IK2011 Meeting, Günne, Germany


Pamir, E. et al. (2011). Average group behavior does not represent individual behavior in classical conditioning of the honeybee [29]. Learning and Memory


Bodiroža, S., Schillaci, G., and Hafner, V. (2011). Robot ego-sphere: An approach for saliency detection and attention manipulation in humanoid robots for intuitive interaction [30]. Proceedings of the 2011 11th IEEE-RAS International Conference on Humanoid Robots, 689-694.


Bodiroža, S. (2011). Using image depth information for fast face detection [31]. Towards Autonomous Robotic Systems, Lecture Notes in Computer Science. Springer Berlin Heidelberg, 424-425.


Dold, H.M.H, Fründ, I. and Wichmann, F.A. (2011). Separate Bayesian inference reveals model properties shared between multiple experimental conditions [32]. Frontiers in Computational Neuroscience Conference Abstract: BC11 : Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting


Görgen, K., Reverberi, C., and Haynes, J.-D. (2011). Two double-dissociations in how the brain encodes rules - Different regions encode (1) rule identity vs. rule order, and (2) rules requiring where- vs. what-responses [33]. Frontiers in Computational Neuroscience Conference Abstract: BC11: Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting 2011


Roemschied, F.A., Eberhard, M.J.B., Ronacher, B., and Schreiber, S. (2011). Single-neuron mechanisms of temperature compensation in the locust auditory system [34]. Proceedings, 8th International PhD Symposium, Berlin Brain Days, 80.


Guggenmos, M., Obermayer, K., Haynes, J.-D., and Sterzer, P. (2011). Reward reinforcement improves visual perceptual learning of complex objects [35]. Perception, 128.


Häusler, C., and Kampa, B. (2011). Cooperativity of cortical ensembles during natural vision [36]. Invited Talk, Joint Workshop of the German Research Training Groups in Computer Science, June 20th-24th, 2011, Schloss Dagstuhl


Roohani, H., Häusler, C., Kampa, B.M., and Nawrot, M.P. (2011). Exploring assembly dynamics in mouse V1 during natural visual stimulation [37]. Front. Comput. Neurosci. Conference Abstract: BC11 : Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting


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