Publications

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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. [More]
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. [More]
Stollenmaier, K., Ilg, W. & Haeufle, D. F. (2020). Predicting perturbed human arm movements in a neuro-musculoskeletal model to investigate the muscular force response. Frontiers in Bioengineering and Biotechnology, section Bionics and Biomimetics, 8(308). [More]
Steiner, K. M., Thier, W., Batsikadze, G., Ludolph, N., Ilg, W. & Timmann, D. (2020). Lack of effects of a single session of cerebellar transcranial direct current stimulation (tDCS) in a dynamic balance task. Journal of Neurology, 267, pages1206–1208(2020). [More]
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. European Archives of Psychiatry and Clinical Neuroscience, 270(7), 819-828. [More]
Kumar, P., Taubert, N., Raman, R., Vogels, R., de Gelder, B. & Giese, M. A (2021). Physiologically-inspired neural model for the visual recognition of dynamic bodies . Neuroscience 2021. [More]
Kumar, P., Taubert, N., Stettler, M., Vogels, R., de Gelder, B. & Giese, M. A (2021). Neurodynamical model for the visual recognition of dynamic bodies . ECVP 2021. [More]
Kumar, P., Taubert, N., Stettler, M., Vogels, R., de Gelder, B. & Giese, M. A (2021). Neurodynamical model for the visual recognition of dynamic bodies . CNS 2021. [More]
Mukovskiy, A., Ardestani, M. H., Salatiello, A., Stettler, M. & Giese, M. A. (2021). Physiologically-inspired neural model for social interactions recognition from abstract and naturalistic stimuli.. Journal of Vision December 2022, Vol.22, 3610. [More]
Salatiello, A. & Giese, M. A. (2021). Unsupervised identification of space-, time-, and action-dependent latent factors underlying muscle activity during reaching. 30th Annual Computational Neuroscience Meeting. [More]
Salatiello, A. & Giese, M. A. (2021). Continuous Decoding of Daily-Life Hand Movements from Forearm Muscle Activity for Enhanced Myoelectric Control of Hand Prostheses. arXiv preprint. [More]
Taubert, N. & Giese, M. A. (2021). Hierarchical Deep Gaussian Processes Latent Variable Model via Expectation Propagation. Artificial Neural Networks and Machine Learning – ICANN 2021 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part I. Springer, Berlin. [More]
Salatiello, A., Hovaidi-Ardestani, M. & Giese, M. A. (2021). A Dynamical Generative Model of Social Interactions. Frontiers in Neurorobotics, 15, 62. [More]
Stettler, M., Taubert, N., Siebert, R., Spadacenta, S., Dicke, P., Thier, P. et al (2021). Neural models for the (cross-species) recognition of dynamic facial expressions. Göttingen Meeting of the German Neuroscience Society 2021, Germany . [More]
Stettler, M., Taubert, N., Siebert, R., Spadacenta, S., Dicke, P., Thier, P. et al (2021). Neural models for the cross-species recognition of dynamic facial expressions. VSS 2021, May 21-26 . [More]
Giese, M. A., Mukovskiy, A., Hovaidi-Ardestani, M., Salatiello, A. & Stettler, M (2021). Neurophysiologically-inspired model for social interactions recognition from abstract and naturalistic stimuli. VSS 2021, May 21-26 . [More]
Mukovskiy, A., Ardestani, M. H., Salatiello, A., Stettler, M. & Giese, M. A (2021). Physiologically-inspired neural model for social interactions recognition from abstract and naturalistic stimuli. Göttingen Meeting of the German Neuroscience Society 2021, Germany . [More]
Gomes, C. A., Steiner, K. M., Ludolph, N., Spisak, T., Ernst, T. M., Mueller, O. et al. (2021). Resection of cerebellar tumours causes widespread and functionally relevant white matter impairments. Hum Brain Mapp. Online ahead of print.. [More]
Benali, A., Tsutsui, K.-I., Pfeiffer, F. & Sekino, M. (2021). Brain Stimulation: From Basic Research to Clinical Use. Frontiers in Human Neuroscience Brain Imaging and Stimulation. Retrieved from https://www.frontiersin.org/research-topics/18713/brain-stimulation-from-basic-research-to-clinical-use. [More]
Thierfelder, A., Seemann, J., John, N., Giese, M. A., Schöls, L., Timman, D. et al. (2021). Turning movements in real life capture subtle longitudinal and preataxic changes in cerebellar ataxia. bioRxiv. [More]
Salatiello, A. & Giese, M. A. (2021). Continuous Decoding of Daily-Life Hand Movements from Forearm Muscle Activity for Enhanced Myoelectric Control of Hand Prostheses.. Proceedings of the 2021 IEEE International Joint Conference on Neural Networks, 1-8. [More]
Giese, M. A., Mukovskiy, A., Hovaidi-Ardestani, M., Salatiello, A. & Stettler, M. (2021). Neurophysiologically-inspired model for social interactions recognition from abstract and naturalistic stimuli. Journal of Vision September 2021, Vol.21, 2434.. [More]
Taubert, N., Stettler, M., Siebert, R., Spadacenta, S., Sting, L., Dicke, P. et al. (2021). Shape-invariant encoding of dynamic primate facial expressions in human perception. eLife. [More]
Lang, J., Giese, M. A., Synofzik, M., Ilg, W. & Otte, S. (2021). Early Recognition of Ball Catching Success in Clinical Trials with RNN-Based Predictive Classification.. - ICANN 2021 30th International Conference on Artificial Neural Networks. [More]
Benali, A., Li, B., Ramachandra, V., Oeltermann, A., Giese, M. & Cornelius, S. (2021). Deciphering the dynamics of neuronal activity evoked by transcranial magnetic stimulation. Brain Stimulation, 14(6), 1745. [More]

Results 501 - 525 of 577