Endres, D., Priss, U. & Földiák, P (2009). Interpreting the Neural Code with Formal Concept Analysis Perception 38 ECVP Abstract Supplement, page 127.
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Publications
Endres, D., Földiák, P. & Priss, U. (2009). An Application of Formal Concept Analysis to Neural Decoding. The 6th international conference on Concept Lattices and their Applications (CLA 2008), Olomouc, Czech Republic., CEUR-WS, 433, 181-192.
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Fleischer, F., Casile, A. & Giese, M. A. (2009). Bio-inspired approach for the recognition of goal-directed hand actions. In X. Jiang and N. Petkov (Eds.): Int. Conf. on Computer Analysis of Images and Patterns (CAIP) 2009, LNCS, 5702, 714-722.
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Fleischer, F., Casile, A. & Giese, M. A. (2009). View-independent recognition of grasping actions with cortex-inspired model. 9th IEEE-RAS Int Conf on Humanoid Robots (Humanoids) 2009, Paris, France, 514-519.
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Ilg, W., Synofzik, M., Broetz, D., Burkard, S., Giese, M. A. & Schöls, L. (2009). Intensive coordinative training improves motor performance in degenerative disease. Neurology 2009, 73, 1823-1830.
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Park, A.-N., Mukovskiy, A., Slotine, J.-J. & Giese, M. A. (2009). Design of dynamical stability properties in character animation. In: The 6th Workshop on Virtual Reality Interaction and Physical Simulation. ,VRIPHYS 09, Nov 5-6, Karlsruhe,Germany, 85-94.
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Roether, C. L., Omlor, L., Christensen, A. & Giese, M. A. (2009). Critical features for the perception of emotion from gait. Journal of Vision, 9(6), 1-32.
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Omlor, L. & Slotine, J.-J. (2009). Continuous Non-Negative Matrix Factorization For Time-Dependent Data. In Proceedings of the European Signal Processing Conference , Glasgow, UK, 2009.
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Fleischer, F., Caggiano, V., Casile, A. & Giese, M. A (2009). Neural model for the visual tuning properties of action-selective neurons in premotor cortex Meeting of the German Neuroscience Society (GNS), Goettingen, Germany.
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Giese, M. A., Casile, A. & Fleischer, F (2009). Neural model of action-selective neurons in STS and area F5 Int Conf on Cognitive Systems Neuroscience (COSYNE) 2009, Salt Lake City, USA.
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Fleischer, F., Casile, A. & Giese, M. A (2009). A neural model of the visual tuning properties of action-selective neurons in STS and area F5 Journal of Vision, 9(8), 1106.
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Giese, M. A., Caggiano, V., Casile, A. & Fleischer, F (2009). Visual encoding of goal-directed movements: a physiologically plausible neural model Meeting of the Society for Neuroscience 2009, Washington DC, USA.
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Fleischer, F., Casile, A. & Giese, M. A (2009). Invariant recognition of goal-directed hand actions: a physiologically plausible neural model Perception 38 ECVP Abstract Supplement, 51.
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Christensen, A., Ilg, W., Karnath, H. O. & Giese, M. A (2009). Temporal Synchrony as Critical Factor for Faciliation and Interference of Action Recognition In: GNS Congress, Goettingen, Germany.
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Jastorff, J., Kourtzi, Z. & Giese, M. A. (2009). Visual learning shapes the processing of complex movement stimuli in the human brain. Journal of Neuroscience, Vol. 29 No. 44, pp. 14026-38.
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Giese, M. A., Mukovskiy, A., Park, A.-N., Omlor, L. & Slotine, J.-J. (2009). Real-Time Synthesis of Body Movements Based on Learned Primitives. In Cremers D, Rosenhahn B, Yuille A L (eds): Statistical and Geometrical Approaches to Visual Motion Analysis, Lecture Notes in Computer Science, 5604, 107-127.
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Christensen, A., Ilg, W., Karnath, H. O. & Giese, M. A (2009). Influence of spatial and temporal congruency between executed and observed movements of the recognition of biological motion Journal of Vision, 9(8), 614.
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Endres, D. & Giese, M. A. (2009). Temporal Segmentation with Bayesian Binning. NIPS 2009 workshop on temporal segmentation.
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Christensen, A., Ilg, W., Karnath, H. O. & Giese, M. A (2009). Specific influences of self-motion on the detection of biological motion Perception 38 ECVP Abstract Supplement, page: 85..
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Barliya, A., Omlor, L., Giese, M. A. & Flash, T. (2009). An analytical formulation of the law of intersegmental coordination during human locomotion. Experimental Brain Research, 193(3), 371-385.
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Endres, D. & Földiák, P. (2009). Interpreting the Neural Code with Formal Concept Analysis. Advances in Neural Information Processing Systems, 21, 425-432.
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Funke, K. & Benali, A. (2009). Short-latency afferent inhibition varies with cortical state in rat somatosensory cortex. Neuroreport, 20(15), 1313—1318.
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Trippe, J., Mix, A., Aydin-Abidin, S., Funke, K. & Benali, A. (2009). θ burst and conventional low-frequency rTMS differentially affect GABAergic neurotransmission in the rat cortex. Experimental brain research, 199(3-4), 411—421.
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Mukovskiy, A., Slotine, J.-J. & Giese, M. A. (2010). Design of the Dynamic Stability Properties of the Collective Behavior of Articulated Bipeds. Proceedings of 10th IEEE-RAS Int. Conference on Humanoid Robots,( Humanoids 2010) December 6-8, 2010, Nashville, TN, USA. pp. 66-73. In press in special issue of IEEE Journal on Robotics and Automation.
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