Publications

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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. [More]
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]
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]
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,, 29(8), 1257-1269. [More]
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]
Fedorov, L., Dijkstra, T. & Giese, M. A. (2018). Lighting-from-above prior in biological motion perception. Scientific Reports, 8(1), 1507. [More]
Lederer, S., Dijkstra, T. & Heskes, T. (2018). Additive Dose Response Models: Explicit Formulation and the Loewe Additivity Consistency Condition. Front. Pharmacol., 9:31. [More]
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]
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]
Mohammadi, P., Hoffman, E. M., Dehio, N., Malekzadeh, M. S., Giese, M. A., Tsagarakis, N. G. et al. (2019). Compliant humanoids moving toward rehabilitation applications: Transparent integration of real-time control, whole-body motion generation, and virtual reality. IEEE Robotics & Automation Magazine, 26(4), 83-93. [More]
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. [More]
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 . [More]
Ilg, W. & Synofzik, M (2019). Motor training improves motor performance at the preclinical stage of degenerative cerebellar ataxia. In: International Symposium on Posture and Gait Research Edinburgh: 2019, P3-Q-131, 534 . [More]
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 . [More]
Lederer, S., Dijkstra, T. & Heskes, T. (2019). Additive Dose Response Models: Defining Synergy. Front. Pharmacol, eCollection 2019, 10(1384). [More]
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 . [More]
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 . [More]
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 . [More]
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 . [More]
Pfeuffer, J., Sachsenberg, T., Dijkstra, T., Serang, O., Reinert, K. & Kohlbacher, O. (2019). EPIFANY - A method for efficient high-confidence protein inference. bioRxiv 10.1101/734327v1. [More]
Weidmann, L., Dijkstra, T., Kohlbacher, O. & Lupas, A. (2019). Where natural protein sequences stand out from randomness. eLife.bioRxiv 706119. [More]
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. [More]
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 . [More]
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 . [More]
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 . [More]

Results 451 - 475 of 576