Publications

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Mukovskiy, A. & Giese, M. A (2014). Kinematic planning and dynamic control for bipeds. The XX Congress of the Int. Soc. of Electrophysiology and Kinesiology, ISEK 2014, Rome, Italy . [More]
Fedorov, L., Vangeneugden, J. & Giese, M. A (2014). Perception of biological motion depends on lighting-from-above prior. Perception 43 ECVP Abstract Supplement, 104 . [More]
Thier, W., Ludolph, N., Ilg, W. & Timmann, D (2014). Transcranial direct current stimulation (tDCS) of the midline cerebellum does not facilitate learning of a complex whole body dynamic balance task . [More]
Schneider, S., Christensen, A., Häußinger, F., Fallgatter, A. J., Giese, M. A. & Ehlis, A.-C. (2014). Show me how you walk and I tell you how you feel - A functional near-infrared spectroscopy study on emotion perception based on human gait. Neuroimage, 85, 380-390. [More]
Ilg, W., Bastian, A., Boesch, S., Burciu, R., Celnik, P., Claassen, J. et al. (2014). Consensus Paper: Management of Degenerative Cerebellar Disorders. The Cerebellum, 13(2), 248-268. [More]
Giese, M. A., Falk, F., Vittorio, C., Jörn, P. & Thier, P (2014). Neural theory for the visual perception of goal-directed actions and perceptual causality Journal of Vision, 14(10) 1471. [More]
Giese, M. A. (2014). Mirror representations innate versus determined by experience: A viewpoint from learning theory. Behavioural and Brain Sciences, 37(2), 201-202. [More]
Ludolph, N., Giese, M. A. & Ilg, W (2014). Influence of the training schedule on intermanual transfer in the cart‐pole balancing task SFN 2014, Washington D.C., USA. [More]
Giese, M. A., Fedorov, L. & Vangeneugden, J (2014). Neurodynamical model for multi-stability and adaptation in motion recognition, Perception 43 ECVP Abstract Supplement, page 69. [More]
Giese, M. A. & Fedorov, L (2014). Neurodynamical model for visual action recognition Bernstein Conference 2014, September 2 – 5, Göttingen, Germany. [More]
Giese, M. A. (2014). Skeleton model for the neurodynamics of visual action representations. Artificial Neural Networks and Machine Learning – ICANN 2014, Lecture Notes in Computer Science, 8681, 707-714. [More]
Fedorov, L., Endres, D., Vangeneugden, J. & Giese, M. A (2014). Neurodynamical model for the multi-stable perception of biological motion J Vis August 22, 2014, 14(10), 1007. [More]
Joosten, E. M. & Giese, M. A (2014). Dynamic facial expressions are not necessarily processed holistically J Vis August 22, 2014, 14(10), 566. [More]
Beck, T., Endres, D., Lindner, A. & Giese, M. A (2014). Active Sampling supported Comparison of Causal Inference Models for Agency Attribution in Goal-Directed Actions J Vis August 22, 2014, 14(10), 838. [More]
Chiovetto, E., Endres, D., Curio, C. & Giese, M. A (2014). Perceptual integration of kinematic components for the recognition of emotional facial expressions J Vis August 22, 2014, 14(10), 205. [More]
Giese, M. A. & Fedorov, L (2014). Neurodynamical model for visual action recognition BMC Neuroscience, 15(1), P164. [More]
Chiovetto, E., Mukovskiy, A., Reinhart, F., Kansari-Zadeh, M. S., Billiard, A., Steil, J. et al (2014). Assessment of human-likeness and naturalness of interceptive arm reaching movement accomplished by a humanoid robot Perception 43 ECVP Abstract Supplement, page 107. [More]
Jastorff, J., Giese, M. A. & Vandenbulcke, M (2014). Common network for the processing of dynamic emotional bodies contains information to discriminate individual basic emotions Front. Hum. Neurosci. Conference Abstract: Belgian Brain Council 2014 MODULATING THE BRAIN: FACTS, FICTION, FUTURE. [More]
Kuravi, P., Caggiano, V., Giese, M. A. & Vogels, R (2014). Repetition suppression in macaque superior temporal sulcus (STS) for dynamic visual stimuli depicting hand actions Front. Hum. Neurosci. Conference Abstract: Belgian Brain Council 2014 MODULATING THE BRAIN: FACTS, FICTION, FUTURE. [More]
Chiovetto, E., Endres, D., D’Avella, A. & Giese, M. A (2014). Model selection for the extraction of EMG synergies Poster presentation at the annual meeting of the Neural Control of Movement Society, NCM. Amsterdam, The Netherlands, 21-25 April 2014. [More]
Velychko, D., Endres, D., Taubert, N. & Giese, M. A. (2014). Coupling Gaussian Process Dynamical Models with Product-of-Experts Kernels. Artificial Neural Networks and Machine Learning – ICANN 2014, Lecture Notes in Computer Science, 8681, 603-610. [More]
Christensen, A., Giese, M. A., Sultan, F., Mueller, O. M., Goericke, S. L., Ilg, W. et al. (2014). An intact action-perception coupling depends on the integrity of the cerebellum. Journal of Neuroscience, 34(19), 6707-16. [More]
Synofzik, M. & Ilg, W. (2014). Motor training in degenerative spinocerebellar disease: ataxia-specific improvements by intensive physiotherapy and exergames. BioMed Research International, 2014, 11. [More]
Dayan, E., Stella, I., Mukovskiy, A., Douek, Y., Giese, M. A., Malach, R. et al. (2014). The Default Mode Network Differentiates Biological From Non-Biological Motion. Cereb. Cortex,, 26(1), 234-245. [More]
Doolittle, E. L., Gingras, B., Endres, D. & Fitch, W. T. (2014). Overtone-based pitch selection in hermit thrush song: Unexpected convergence with scale construction in human music. PNAS, 111(46), 16616-21. [More]

Results 326 - 350 of 483