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Ludolph, N., Giese, M. A. & Ilg, W. (2017). Interacting Learning Processes during Skill Acquisition. Learning to control with gradually changing system dynamics. In Scientific reports, 7(1), 325. [More] [Bibtex]
Ardestani, M. H., Caggaino, V. & Giese, M. A. (2017). Neurodynamical model for the coupling of action perception and execution. ICANN 2017, 10613, 19-26. [More] [Bibtex]
Müller, B., Ilg, W., Giese, M. A. & Ludolph, N. (2017). Validation of Enhanced Kinect Sensor based Motion Capturing for Gait Assessment. PLoS ONE, 12(4), e0175813. [More] [Bibtex]
Schatton, C., Synofzik, M., Fleszar, Z., Giese, M. A., Schöls, L. & Ilg, W. (2017). Individualized exergame training improves postural control in advanced degenerative spinocerebellar ataxia: a rater-blinded, intra-individually controlled trial. Parkinsonism and Related Disorders, 39(80-84). [More] [Bibtex]
Mukovskiy, A., Taubert, N., Endres, D., Vassallo, C., Naveau, M., Stasse, O. et al. (2017). Modeling of coordinated human body motion by learning of structured dynamic representations. In: J.P. Laumond et al. (Eds.): "Geometric and Numerical Foundations of Movements," Springer STAR Series, Springer-Verlag Berlin Heidelberg., 117, 237-267. [More] [Bibtex]
Mukovskiy, A., Vassallo, C., Naveau, M., Stasse, O., Souères, P. & Giese, M. A. (2017). Adaptive synthesis of dynamically feasible full-body movements for the humanoid robot HRP-2 by flexible combination of learned dynamic movement primitives. Robotics and Autonomous Systems, 91, 270. [More] [Bibtex]
Fedorov, L., Vangeneugden, J. & Giese, M. A. (2016). Neural Model for the Influence of Shading on the Multistability of the Perception of Body Motion. BEST PAPER AWARD, In Proceedings of the 8th International Joint Conference on Computational Intelligence, Portugal 2016, 3, 69-76. [More] [Bibtex]
Caggiano, V., Fleischer, F., Pomper, J. K., Giese*, M. A. & Thier*, P. (2016). Mirror Neurons in Monkey Premotor Area F5 Show Tuning for Critical Features of Visual Causality Perception. Curr Biol, 26(22), 3077-3082. (*ec). [More] [Bibtex]
Thijssen, B., Dijkstra, T. M., Heskes, T. & Wessels, L. F. (2016). BCM: toolkit for Bayesian analysis of Computational Models using samplers. BMC Systems Biology, 10, 100. [More] [Bibtex]
Karklinsky, M., Naveau, M., Mukovskiy, A., Stasse, O., Flash, T. & Souères, P. (2016). Robust human-inspired power law trajectories for humanoid HRP-2 robot. Biomedical Robotics and Biomechatronics, 6th IEEE Conference Paper, 106-113. [More] [Bibtex]
Ilg, W., Fleszar, Z., Schatton, C., Hengel, H., Harmuth, F., Bauer, P. et al. (2016). Individual changes in preclinical spinocerebellar ataxia identified via increased motor complexity. Mov Disord., 31(12), 1891-1900. [More] [Bibtex]
Steiner, K., Endres, A., Thier, W., Batsikadze, G., Ludolph, N., Ilg, W. et al. (2016). Cerebellar tDCS does not improve learning in a complex whole body dynamic balance task in young healthy subjects. PLoS ONE, 11(9). [More] [Bibtex]
Jastorff, J., De Winter, F., Van den Stock, J., Vandenberghe, R., Giese, M. A. & Vandenbulcke, M. (2016). Functional dissociation between anterior temporal lobe and inferior frontal gyrus in the processing of dynamic body expressions: Insights from behavioral variant frontotemporal dementia. Human Brain Mapping, 37(12), 4472-4486. [More] [Bibtex]
Giese, M. A. (2016). Face Recognition: Canonical Mechanisms at Multiple Timescales. Curr Biol., 26(13), 534-537. [More] [Bibtex]
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. [More] [Bibtex]
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. [More] [Bibtex]
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. [More] [Bibtex]
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. [More] [Bibtex]
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. [More] [Bibtex]
Chiovetto, E., D'Avella, A. & Giese, M. A. (2016). A unifying framework for the identification of motor primitives. eprint arXiv:1603.06879. [More] [Bibtex]
Timmann, D., Ernst, T. M., Ilg, W. & Donchin, O. (2016). Lesion-symptom mapping. In: Essentials of cerebellum and Cerebellar Disorders. Eds: D. Gruol, N. Koibuchi, M. Manto, M. Molinari, J. Schmahmann, Y. Shen. Springer, 489-497. [More] [Bibtex]
Ilg, W. & Timmann, D. (2016). Motor rehabilitation of cerebellar disorders. In: Essentials of cerebellum and Cerebellar Disorders. Eds: D. Gruol, N. Koibuchi, M. Manto, M. Molinari, J. Schmahmann, Y. Shen. Springer, 641-647. [More] [Bibtex]
Timmann, D. & Ilg, W. (2016). Drugs in selected ataxias. In: Essentials of cerebellum and Cerebellar Disorders. Eds: D. Gruol, N. Koibuchi, M. Manto, M. Molinari, J. Schmahmann, Y. Shen. Springer, 627-633. [More] [Bibtex]
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. [More] [Bibtex]
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. [More] [Bibtex]
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. [More] [Bibtex]
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. [More] [Bibtex]
Giese, M. A. & Rizzolatti, G. (2015). Neural and Computational Mechanisms of Action Processing: Interaction between Visual and Motor Representations. Neuron, 88(1), 167-180. [More] [Bibtex]
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. [More] [Bibtex]
Giese, M. A. (2015). Biological and Body Motion Perception. Johan Wagemans (ed.):The Oxford Handbook of Perceptual Organization, Oxford University Press, Oxford. [More] [Bibtex]
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. [More] [Bibtex]
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. [More] [Bibtex]
Doolittle, E. L., Gingras, B., Endres, D. & Fitch, W. T. (2014). Overtone-based pitch selection in hermit thrush song: Unexpected convergence with scale construction in human music. PNAS, 111(46), 16616-21. [More] [Bibtex]
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. [More] [Bibtex]
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. [More] [Bibtex]
Ilg, W., Bastian, A., Boesch, S., Burciu, R., Celnik, P., Claassen, J. et al. (2014). Consensus Paper: Management of Degenerative Cerebellar Disorders. The Cerebellum, 13(2), 248-268. [More] [Bibtex]
Giese, M. A. (2014). Mirror representations innate versus determined by experience: A viewpoint from learning theory. Behavioural and Brain Sciences, 37(2), 201-202. [More] [Bibtex]
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. [More] [Bibtex]
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. [More] [Bibtex]
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. [More] [Bibtex]
Synofzik, M. & Ilg, W. (2014). Motor training in degenerative spinocerebellar disease: ataxia-specific improvements by intensive physiotherapy and exergames. BioMed Research International, 2014, 11. [More] [Bibtex]
Peterman, J. S., Christensen, A., Giese, M. A. & Park, S. (2014). Extraction of social information from gait in schizophrenia. Psychological Medicine, 1-10. [More] [Bibtex]
Giese, M. A. (2014). Neural theory for the visual processing of goal-directed actions. Cognitive Processing, 15(1), S11-S12. [More] [Bibtex]
Layher, G., Giese, M. A. & Neumann, H. (2014). Learning representations of animated motion sequences-a neural model. Top Cogn Sci., 6(1), 170-182. [More] [Bibtex]
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. [More] [Bibtex]
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. [More] [Bibtex]
Endres, D., Chiovetto, E. & Giese, M. A. (2013). Model selection for the extraction of movement primitives. Frontiers in Computational Neuroscience, 7(185). [More] [Bibtex]
Chiovetto, E. & Giese, M. A. (2013). Kinematics of the coordination of pointing during locomotion. Plos One, 8(11). [More] [Bibtex]
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. [More] [Bibtex]
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. [More] [Bibtex]

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