Taubert, N., St-Amand, J., Kumar, P., Gizzi, L. & Giese, M. A. (2020). Reactive Hand Movements from Arm Kinematics and EMG Signals Based on Hierarchical Gaussian Process Dynamical Models. Artificial Neural Networks and Machine Learning – ICANN 2020 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15–18, 2020, Proceedings, Part I. Springer, Berlin(127-140).
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Salatiello, A. & Giese, M. A. (2020). Recurrent Neural Network Learning of Performance and Intrinsic Population Dynamics from Sparse Neural Data. Artificial Neural Networks and Machine Learning – ICANN 2020 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15–18, 2020, Proceedings, Part I. Springer, Berlin(874-886).
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Stettler, M., Taubert, N., Azizpour, T., Siebert, R., Spadacenta, S., Dicke, P. et al. (2020). Physiologically-inspired Neural Circuits for the Recognition of Dynamic Faces. Artificial Neural Networks and Machine Learning – ICANN 2020 29th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 15–18, 2020, Proceedings, Part I. Springer, Berlin(168-179).
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Petrasch-Parwez, E., Schöbel, A., Benali, A., Moinfar, Z., Förster, E., Brüne, M. et al. (2020). Lateralization of increased density of Iba1-immunopositive microglial cells in the anterior midcingulate cortex of schizophrenia and bipolar disorder. Eur Arch Psychiatry Clin Neurosci. 2020, Online ahead of print, 270(7), 819-828.
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Taubert, N., Stettler, M., Sting, L., Siebert, R., Spadacenta, S., Dicke, P. et al (2020). Cross-species diferences in the perception of dynamic facial expressions. VSS 2020, 19-24 Jun .
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Stettler, M. & Giese, M. A (2020). Physiologically-inspired Neural Circuits for the Recognition of Dynamic Faces. ICANN 2020 .
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[Bibtex]
Salatiello, A. & Giese, M. A (2020). Recurrent Neural Network Learning of Performance and Intrinsic Population Dynamics from Sparse Neural Data. ICANN2020, arXiv:2005.02211v1 [q-bio.NC] .
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Ardestani, M. H., Mukovskiy, A., Stettler, M., Saini, N. & Giese, M. A (2020). Physiologically-inspired neural model for the visual recognition of social interactions from abstract and natural stimuli. VSS 2020, 19-24 Jun .
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Ilg, W., Seemann, J., Giese, M. A., Traschütz, A., Schöls, L., Timmann, D. et al. (2020). Real-life gait assessment in degenerative cerebellar ataxia: Towards ecologically valid biomarkers. Neurology, 95(9):e119-e210.
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Siebert, R., Taubert, N., Spadacenta, S., Dicke, P. W., Giese, M. A. & Thier, P. (2020). A naturalistic dynamic monkey head avatar elicits species-typical reactions and overcomes the uncanny valley. ENEURO.0524-19.2020.
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Lang, J., Haas, E., -Schmid, J. H., Anderson, C. J., Pulst, S. M., Giese, M. A. et al. (2020). Detecting and quantifying ataxia-related motor impairments in rodents using markerless motion tracking with deep neural networks. 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'20) to be held at the Palais des congrès de Montréal, Montréal, Québec, Canada July 20-24, 2020.
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Huber, M. E., Chiovetto, E., Giese, M. A. & Sternad, D. (2020). Rigid soles improve balance in beam walking, but improvements do not persist with bare feet. Sci Rep, 10(1), 7629.
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Lee, J., Huber, M. E., Chiovetto, E., Giese, M. A., Sternad, D. & Hogan, N. (2019). Human-inspired balance model to account for foot-beam interaction mechanics. 2019 International Conference on Robotics and Automation (ICRA) Palais des congres de Montreal, Montreal, Canada, May 20-24, 2019, 1970-1974.
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Ilg, W., Seemann, J. & Synofzik, M (2019). Unravelling quantitative measures of free-living ataxic gait in cerebellar patients using wearable sensors. In: International Symposium on Posture and Gait Research Edinburgh: 2019, P1-Q-139, 192 .
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Salatiello, A. & Giese, M. A (2019). Learning of Generative Neural Network Models for EMG Data Constrained by Cortical Activation Dynamics (A). 29th Meeting of the Society for the Neural Control of Movement; Toyama, Japan .
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Salatiello, A. & Giese, M. A (2019). Learning of generative neural network models for EMG data constrained by cortical activation dynamics(B). CNS Conference 2019, 13-17 July, Barcelona, Spain .
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Stettler, M., Taubert, N., Sting, L., Siebert, R., Spadacenta, S., Dicke, P. et al (2019). Cross-species differences in the perception of dynamic facial expressions. Talk at ECVP Conference 2019, Perception 48(2S),63 .
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Ardestani, M. H., Saini, N. & Giese, M. A (2019). Neural model for the visual recognition of agency and social interaction. ECVP Conference 2019, Perception 48(2S),104 .
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Ardestani, M. H., Saini, N. & Giese, M. A (2019). Neural model for the visual recognition of social interactions. BMC Neuroscience 2019, 20(Suppl 1):P92 .
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Fleszar, Z., Mellone, S., Giese, M. A., Tacconi, C., Becker, C., Schöls, L. et al. (2019). Real-time use of audio-biofeedback can improve postural sway in patients with degenerative ataxia. Ann Clin Transl Neurol, 6(2), 285-294.
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Taubert, N., Stettler, M., Sting, L., Siebert, R., Spadacenta, S., Dicke, P. et al (2019). Cross-species differences in the perception of dynamic facial expressions. VSS Annual Meeting 2019, Journal of Vision 19(10):155 .
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Kodl, J., Yu, C. C., Dijkstra, T. & Giese, M. A (2019). Sensorimotor adaptation to an environment with non-standard physics. The Progress in Motor Control XII: Movement Improvement conference, PMC 2019. Amsterdam, The Netherlands, July 7-10, 2019 .
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Kodl, J., Mukovskiy, A., Mohammadi, P., Malekzadeh, M., Taubert, N., Christensen, A. et al (2019). Online planning and control of ball throwing by the humanoid robot COMAN and validation exploiting VR in rehabilitation scenarios with ataxia patients. Oral presentation and extended abstract in Proc. of CYBATHLON Symposium on Assistive and Wearable Robotics (AsWeR 2019). 16–17 May, 2019, Karlsruhe .
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Dijkstra, T., Kodl, J., Li, C.-Y. & Giese, M. A (2019). Manipulation of internal representations of physics through VR training in an unnatural physical environment. ECVP 2019, Perception 48(2S),104 .
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Kodl, J., Dijkstra, T., Taubert, N. & Giese, M. A (2019). Role of body cues in intent perception during ball catching. ECVP 2019, Perception 48(2S),121 .
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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. In Proceedings : Göttingen Meeting of the German Neuroscience Society 2019, Germany, T23-10C .
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Giese, M. A., Saini, N. & Ardestani, M. H (2019). Neural model of the visual recognition of social intent. VSS Annual Meeting 2019, Journal of Vision 19(10):278c .
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[Bibtex]
Ardestani, M. H., Saini, N. & Giese, M. A (2019). Neural model for the visual recognition of agency and social interaction. In Proceedings: Göttingen Meeting of the German euroscience Society 2019, Germany, T26-4B .
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Mukovskiy, A. (2018). Computational Methods for Cognitive and Cooperative Robotics. Phd Thesis.
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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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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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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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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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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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