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van den Brand, J. A., Dijkstra, T. M., Wetzels, J., Stengel, B., Metzger, M., Blankestijn, P. J. et al. (2019). Predicting kidney failure from longitudinal kidney function trajectory: A comparison of models. PLoS ONE 14(5): e0216559. [More] [Bibtex]
Ludolph, N., Ernst, T. M., Mueller, O. M., Goericke, S. L., Giese, M. A., Timmann, D. et al. (2019). Cerebellar involvement in learning to balance a cart-pole system. bioRxiv; 10.1101/586990. [More] [Bibtex]
Srulijes, K., Klenk, J., Schwenk, M., Schatton, C., Schwickert, L., Teubner-Liepert, K. et al. (2019). Fall Risk in Relation to Individual Physical Activity Exposure in Patients with Different Neurodegenerative Diseases: a Pilot Study. Cerebellum, 18(3), 340-348. [More] [Bibtex]
Mohammadi, P., Malekzadeh, M. S., Kodl, J., Mukovskiy, A., Wigand, D., Giese, M. A. et al. (2018). Real-Time Control of Whole-Body Robot Motion and Trajectory Generation for Physiotherapeutic Juggling in VR. IROS2018, 270-277. [More] [Bibtex]
Ardestani, M. H., Saini, N., Martinez, A. & Giese, M. A. (2018). Neural model for the visual recognition of animacy and social interaction. 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part III, 168-177. [More] [Bibtex]
Junker, M., Endres, D., Sun, Z. P., Dicke, P. W., Giese, M. A. & Thier, P. (2018). Learning from the past: A reverberation of past errors in the cerebellar climbing fiber signal. PLOS Biology, 16(8), e2004344. [More] [Bibtex]
Fedorov, L., Chang, D., Giese, M. A., Bülthoff, H. & de la Rosa, S. (2018). Adaptation aftereffects reveal representations for encoding of contingent social actions. PNAS, 115(29), 7515-7520. [More] [Bibtex]
Ilg, W., Branscheidt, M., Butala, A., Celnik, P., de Paola, L., Horak, F. B. et al. (2018). Consensus paper: Neurophysiological assessments of ataxias in daily practice. Cerebellum,, 17(5), 628-653. [More] [Bibtex]
Thijssen, B., Dijkstra, T., Heskes, T. & Wessels, L. F. (2018). Bayesian data integration for quantifying the contribution of diverse measurements to parameter estimates. Bioinformatics, 34(5), 803-811. [More] [Bibtex]
de la Rosa, S., Fademrecht, L., Bülthoff, H. H., Giese, M. A. & Curio, C. (2018). Two ways to facial expression recognition? Motor and visual information have different effects on facial expression recognition. Psychological Science, [Epub ahead of print], 29(8), 1257-1269. [More] [Bibtex]
Chiovetto, E., Curio, C., Endres, D. & Giese, M. A. (2018). Perceptual integration of kinematic components in the recognition of emotional facial expressions. Journal of Vision, 18 (4):13, 1-19. [More] [Bibtex]
Fedorov, L., Dijkstra, T. & Giese, M. A. (2018). Lighting-from-above prior in biological motion perception. Scientific Reports, 8(1), 1507. [More] [Bibtex]
Lederer, S., Dijkstra, T. & Heskes, T. (2018). Additive Dose Response Models: Explicit Formulation and the Loewe Additivity Consistency Condition. Front. Pharmacol., 9:31. [More] [Bibtex]
Chiovetto, E., Huber, M., Sternad, D. & Giese, M. A. (2018). Low-dimensional organization of angular momentum during walking on a narrow beam. Sci Rep., 8(1), 95. [More] [Bibtex]
Sperber, C., Christensen, A., Ilg, W., Giese, M. A. & Karnath, H.-O. (2018). Apraxia of object-related action does not depend on visual feedback. Cortex, 99:103-117. [More] [Bibtex]
Kodl, J., Mukovskiy, A., Dijkstra, T., Brötz, D., Ludolph, N., Taubert, N. et al. (2017). Ball Throwing Games in Virtual Reality for Motor Rehabilitation. Iberdiscap, Bogota, Colombia, ISSN 2619-6433, 489-496. [More] [Bibtex]
Li, B., Virtanen, J. P., Oeltermann, A., Schwarz, C., Giese, M. A., Ziemann, U. et al. (2017). Lifting the Veil on the Dynamics of Neuronal Activities Evoked by Transcranial Magnetic Stimulation. eLife pii: e30552. [More] [Bibtex]
Ludolph, N., Pölger, J., Giese, M. A. & Ilg, W. (2017). Motor expertise facilitates the precision of state extrapolation in perception. In PLoS ONE 12 (11), e0187666. [More] [Bibtex]
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. In Lecture Notes in Computer Science Artificial Neural Networks and Machine Learning, 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, [Epub ahead of print]. [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]

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