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.
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Salatiello, A. & Giese, M. A (2019). Learning Central Pattern Generator models for rhythmic activation patterns. Submitted to NWG 2019, Göttingen, Germany .
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Ardestani, M. H., Saini, N. & Giese, M. A (2019). Neural model of the visual recognition of social intent. Submitted to VSS 2019, Florida, USA .
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Ardestani, M. H., Saini, N. & Giese, M. A (2019). Neural model for the visual recognition of agency and social interaction. Submitted to NWG 2019, Göttingen, Germany .
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[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.
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[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.
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[Bibtex]
Kodl, J., Christensen, A., Dijkstra, T. & Giese, M. A (2018). Intent perception of human and non-human agent during ball throwing task in virtual reality. Intent perception of human and non-human agent during ball throwing task in virtual reality. ECVP, 26-30 Aug, Trieste, Italy .
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[Bibtex]
Ardestani, M. H., Saini, N., Martinez, A. & Giese, M. A (2018). Neural model for the visual recognition of social intent. ECVP 2018, 26 - 30 August., Trieste, Italy .
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Ardestani, M. H., Saini, N. & Giese, M. A (2018). Neural Model for the Recognition of Agency and Interaction from abstract stimuli. CNS Conference 2018, 13-18 July, Seattle, USA .
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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.
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[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.
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[Bibtex]
Ardestani, M. H., Saini, N. & Giese, M. A (2018). Neural Model for the Recognition of Agency and Interaction from Motion. VSS Conference 2018, 18-23 May, St.Petersburg, Florida, Journal of Vision September 2018, 18 , 430.
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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.
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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.
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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.
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Fedorov, L., Dijkstra, T. & Giese, M. A. (2018). Lighting-from-above prior in biological motion perception. Scientific Reports, 8(1), 1507.
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Lederer, S., Dijkstra, T. & Heskes, T. (2018). Additive Dose Response Models: Explicit Formulation and the Loewe Additivity Consistency Condition. Front. Pharmacol., 9:31.
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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.
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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.
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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.
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Kodl, J., Mukovskiy, A., Dijkstra, T., Brötz, D., Ludolph, N., Taubert, N. et al (2017). Ball Throwing Games in Virtual Reality for Motor Rehabilitation. IX Iberoamerican Congress in Assistive Technology, Iberdiscap, Bogota, Colombia, ISSN 2619-6433 .
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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.
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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.
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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.
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Sting, L., Fedorov, L., Dijkstra, T., Hock, H. & Giese, M. A (2017). Dynamics of multi stable biological motion perception. VSS Conference 2017, 19-24 May, St.Petersburg, Florida, Journal of Vision. 2017; 17(10):70-70 .
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Fedorov, L., Dijkstra, T., Sting, L., Hock, H. & Giese, M. A (2017). Modeling of the perceptual dynamics of the perception of body motion. CNS 2017, Antwerp, Belgium .
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Ardestani, M. H., Caggaino, V. & Giese, M. A. (2017). Neurodynamical model for the coupling of action perception and execution. ICANN 2017, 11-14 Sept., Rom, Italy.
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Ardestani, M. H. & Giese, M. A (2017). Biophysically plausible neural model for the interaction between visual and motor representations of action. VSS Conference 2017, 19-24 May, St.Petersburg, Florida, Journal of Vision. 2017; 17(10):1167-1167. .
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Ardestani, M. H. & Giese, M. A (2017). Neuro-dynamical model for the coupling of action perception and execution. ECVP 2017, 28-31 Aug., Berlin, Germany .
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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.
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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 [Epub ahead of print], 39(80-84).
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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.
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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.
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Taubert, N., Markanday, A., Spadacenta, S., Dicke, P., Thier, P. & Giese, M. A (2016). Monkey Head: Highly-realistic Computer-animation Model for Macaque Facial Expressions. VECTOR Conference 27-29 Juli, Tübingen, Germany .
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Taubert, N., Li, J., Endres, D., Christensen, A., de Gelder, B. & Giese, M. A (2016). Probabilistic model for the online synthesis of stylized reactive movements in Virtual Reality. VECTOR Conference 27-29 Juli, Tübingen, Germany .
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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, 8th International Joint Conference on Computional Inteligence, Porto Nov 9-11, 2016, Portugal.
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Giese, M. A., Kuravi, P. & Vogels, R (2016). Neural model for stimulus-specific adaptation of neurons in area IT. SFN 2016, San Diego Nov 12-16 .
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Sternad, D., Mukovskiy, A., Ebert, J. & Dijkstra, T (2016). Dynamic Stability in Human Control of Complex Object. Ann. Meeting of NCM Soc., April, 2016, Montego Bay .
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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.
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Jastroff, J., Winter, F. L., Giese, M. A. & Vandenbulcke, M (2016). Distinct roles of the anterior temporal lobe and the inferior frontal gyrus in recognition of dynamic emotional body expressions in patients with frontotemporal dementia. Journal of Vision September 2016, Vol.1 , 168.
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Fedorov, L. & Giese, M. A (2016). An integrated model for the shading and silhouette cues in the perception of biological motion. Journal of Vision, Vol 16 , 273.
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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).
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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.
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Kodl, J., Ravishankar, G., Christensen, A. & Giese, M. A (2016). Sensorimotor Learning in Environments with Unnatural Physics. VECTOR Conference 27-29 Juli, Tübingen, Germany .
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[Bibtex]
Kodl, J., Taubert, N. & Giese, M. A (2016). Detecting Body Movement Patterns Resulting in Deceptive Behaviour in a Virtual Reality Throwing Task. VECTOR Conference 27-29 Juli, Tübingen, Germany .
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