Team of Computational Sensomotorics
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, 6.
[More]
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]
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]
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 .
[More]
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]
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]
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]
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 .
[More]
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 .
[More]
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]
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 .
[More]
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 .
[More]
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]
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]
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]
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, 6.
[More]
Mukovskiy, A. (2018). Computational Methods for Cognitive and Cooperative Robotics. Phd Thesis.
[More]
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]
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]
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 .
[More]
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 .
[More]
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 .
[More]
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]
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]