Giese, M. A. (2016). Face Recognition: Canonical Mechanisms at Multiple Timescales. Curr Biol., 26(13), 534-537.
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Pajon, A., Chiovetto, E., Monaghan, C., Giese, M. A. & Kheddar, A. (2016). Adaptation of walking ground reaction forces to sudden changes in ground stiffness properties. Biomedical Robotics and Biomechatronics, 6th IEEE Conference Paper, 1313-1318.
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Schemschat, R. M., Clever, D., Felis, M. L., Chiovetto, E., Giese, M. A. & Mombaur, K. (2016). Joint Torque Analysis of Push Recovery Motions during Human Walking. Biomedical Robotics and Biomechatronics, 6th IEEE Conference Paper, 133-139.
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Giese, M. A., Kuravi, P. & Vogels, R. (2016). Phenomenological model for the adapatation of shape-selective neurons in area IT. Artificial Neural Networks and Machine Learning – ICANN 2016, LNCS 9886, 222-229.
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Kuravi, P., Caggiano, V., Giese, M. A. & Vogels, R. (2016). Repetition suppression for visual actions in the macaque superior temporal sulcus. J Neurophysiol., 115(3), 1324-1337.
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Spencer, J. M., Sekuler, A. B., Bennett, P. J., Giese, M. A. & Pilz, K. S. (2016). Effects of aging on discriminating emotions from point-light walkers. Psychol Aging, 31(1), 126-138.
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Chiovetto, E., D'Avella, A. & Giese, M. A. (2016). A unifying framework for the identification of motor primitives. eprint arXiv:1603.06879.
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Pomper, J. K., Arnstein, D., Caggiano, V., Giese, M. A. & Thier, P. (2015). New properties of F5 mirror neurons and their implications for response selection. New Frontiers in: (Eds) Ferrari P.F. and Rizzolatti G., Mirror Neurons Research, Oxford Press.
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Goldberg, H., Christensen, A., Flash, T., Giese, M. A. & Malach, R. (2015). Brain activity correlates with emotional perception induced by dynamic avatars. NeuroImage, 122:306-317.
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Jastorff, J., Huang, Y.-A., Giese, M. A. & Vandenbulcke, M. (2015). Common Neural Correlates of Emotion Perception in Humans. Human Brain Mapp, 36(10), 4184-4201.
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Mukovskiy, A., Land, W. M., Schack, T. & Giese, M. A. (2015). Modeling of predictive human movement coordination patterns for applications in computer graphics. Journal of WSCG, 23(2), 139-146.
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Giese, M. A. & Rizzolatti, G. (2015). Neural and Computational Mechanisms of Action Processing: Interaction between Visual and Motor Representations. Neuron, 88(1), 167-180.
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Endres, D., Chiovetto, E. & Giese, M. A. (2015). Bayesian approaches for learning of primitive-based compact representations of omplex human activities. In: Dance Notations and Robot Motion. Eds: Laumonde JP, Abe N., 11, 117-137.
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Giese, M. A. (2015). Biological and Body Motion Perception. Johan Wagemans (ed.):The Oxford Handbook of Perceptual Organization, Oxford University Press, Oxford.
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Sacheli, L. M., Christensen, A., Giese, M. A., Taubert, N., Pavone, E. F., Aglioti, S. M. et al. (2015). Prejudiced interactions: implicit racial bias reduces predictive simulation during joint action with an out-group avatar. Scientific Reports, 5, 8507.
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Caggiano, V., Giese, M. A., Thier, P. & Casile, A. (2015). Encoding of point of view during action observation in the Local Field Potentials of macaque area F5. Eur J Neurosci., 41(4), 466-476.
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Dayan, E., Stella, I., Mukovskiy, A., Douek, Y., Giese, M. A., Malach, R. et al. (2014). The Default Mode Network Differentiates Biological From Non-Biological Motion. Cereb. Cortex,, 26(1), 234-245.
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Schneider, S., Christensen, A., Häußinger, F., Fallgatter, A. J., Giese, M. A. & Ehlis, A.-C. (2014). Show me how you walk and I tell you how you feel - A functional near-infrared spectroscopy study on emotion perception based on human gait. Neuroimage, 85, 380-390.
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Giese, M. A. (2014). Mirror representations innate versus determined by experience: A viewpoint from learning theory. Behavioural and Brain Sciences, 37(2), 201-202.
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Giese, M. A. (2014). Skeleton model for the neurodynamics of visual action representations. Artificial Neural Networks and Machine Learning – ICANN 2014, Lecture Notes in Computer Science, 8681, 707-714.
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Velychko, D., Endres, D., Taubert, N. & Giese, M. A. (2014). Coupling Gaussian Process Dynamical Models with Product-of-Experts Kernels. Artificial Neural Networks and Machine Learning – ICANN 2014, Lecture Notes in Computer Science, 8681, 603-610.
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Christensen, A., Giese, M. A., Sultan, F., Mueller, O. M., Goericke, S. L., Ilg, W. et al. (2014). An intact action-perception coupling depends on the integrity of the cerebellum. Journal of Neuroscience, 34(19), 6707-16.
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Peterman, J. S., Christensen, A., Giese, M. A. & Park, S. (2014). Extraction of social information from gait in schizophrenia. Psychological Medicine, 1-10.
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Giese, M. A. (2014). Neural theory for the visual processing of goal-directed actions. Cognitive Processing, 15(1), S11-S12.
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Layher, G., Giese, M. A. & Neumann, H. (2014). Learning representations of animated motion sequences-a neural model. Top Cogn Sci., 6(1), 170-182.
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Fleischer, F., Caggiano, V., Thier, P. & Giese, M. A. (2013). Physiologically Inspired Model for the Visual Recognition of Transitive Hand Actions. The Journal of Neuroscience, 15(33), 6563-80.
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Synofzik, M., Schatton, C., Giese, M. A., Wolf, J., Schöls, L. & Ilg, W. (2013). Videogame-based coordinative training can improve advanced, multisystemic early-onset ataxia. Journal of Neurology, 260(10), 2656-2658.
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Endres, D., Chiovetto, E. & Giese, M. A. (2013). Model selection for the extraction of movement primitives. Frontiers in Computational Neuroscience, 7(185).
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Chiovetto, E. & Giese, M. A. (2013). Kinematics of the coordination of pointing during locomotion. Plos One, 8(11).
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Taubert, N., Löffler, M., Ludolph, N., Christensen, A., Endres, D. & Giese, M. A. (2013). A virtual reality setup for controllable, stylized real-time interactions between humans and avatars with sparse Gaussian process dynamical models. Proceedings of the ACM Symposium on Applied Perception, 41-44.
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Ajallooeian, M., van den Kieboom, J., Mukovskiy, A., Giese, M. A. & Ijspeert, A. J. (2013). A general family of morphed nonlinear phase oscillators with arbitrary limit cycle shape. Physica D: Nonlinear Phenomena, 263, 41-56.
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Ilg, W., Christensen, A., Mueller, O. M., Goericke, S. L., Giese, M. A. & Timmann, D. (2013). Effects of cerebellar lesions on working memory interacting with motor tasks of different complexities. Journal of Neurophysiology, 110(10).
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Endres, D., Meirovitch, Y., Flash, T. & Giese, M. A. (2013). Segmenting sign language into motor primitives with Bayesian binning. Frontiers in Computational Neuroscience, 7.
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Caggiano, V., Pomper, J. K., Fleischer, F., Fogassi, L., Giese, M. A. & Thier, P. (2013). Mirror neurons in monkey area F5 do not adapt to the observation of repeated actions Reference. Nat. Commun., 4, 1433.
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de la Rosa, S., Giese, M. A., Bülthoff, H. H. & Curio, C. (2013). The contribution of different cues of facial movement to the emotional facial expression adaptation aftereffect. Journal of Vision, 13(1:23), 1–15.
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Mukovskiy, A., Slotine, J.-J. & Giese, M. A. (2013). Dynamically stable control of articulated crowds. Journal of Computational Science, 4(4), 304-310.
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Barliya, A., Omlor, L., Giese, M. A., Berthoz, A. & Flash, T. (2013). Expression of Emotion in the Kinematics of Locomotion. Experimental Brain Research, 225(2), 159-76.
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