Thierfelder, A., Seemann, J., John, N., Harmuth, F., Giese, M. A., Schüle, R. et al. (2022). Real-Life Turning Movements Capture Subtle Longitudinal and Preataxic Changes in Cerebellar Ataxia. Movement Disorders.
[More]
[Bibtex]
Ramachandra, V., Giese, M. A. & Benali, A. (2022). The Effects of Low-Intensity Repetitive Transcranial Magnetic Stimulation on White Matter Plasticity and Depression. .
[More]
[Bibtex]
Chiovetto, E., Salatiello, A., D'Avella, A. & Giese, M. A. (2022). Toward a unifying framework for the modeling and identification of motor primitives. Frontiers in computational neuroscience, 16 926345.
[More]
[Bibtex]
Laßmann, C., Ilg, W., Rattay, T. W., Schöls, L., Giese, M. A. & Haeufle, D. (2022). Dysfunctional neuro-muscular1 mechanisms explain gradual gait2 changes in prodromal spastic3 paraplegia. medRxiv 2022.
[More]
[Bibtex]
Laßmann, C., Ilg, W., Schneider, M., Völker, M., Haeufle, D., Schüle, R. et al. (2022). Specific gait changes in prodromal hereditary spastic paraplegia type 4 - preSPG4 study. accepted in Movement Disorders 2022.
[More]
[Bibtex]
Thierfelder, A., Primbs, J., Severitt, B., Hohnecker, C. S., Kühnhausen, J., Alt, A. K. et al. (2022). Multimodal sensor-based identification of stress and compulsive actions in children with obsessive-compulsive disorder for telemedical treatment. 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[More]
[Bibtex]
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]
[Bibtex]
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]
[Bibtex]
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.
[More]
[Bibtex]
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]
[Bibtex]
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]
[Bibtex]
Benali, A., Pfeiffer, F. & Tsutsui, K.-I. (2021). Brain Stimulation: From Basic Research to Clinical Use. .
[More]
[Bibtex]
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.
[More]
[Bibtex]
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]
[Bibtex]
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]
[Bibtex]
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]
[Bibtex]
Salatiello, A., Hovaidi-Ardestani, M. & Giese, M. A. (2021). A Dynamical Generative Model of Social Interactions. Frontiers in Neurorobotics, 15, 62.
[More]
[Bibtex]
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).
[More]
[Bibtex]
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).
[More]
[Bibtex]
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).
[More]
[Bibtex]
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.
[More]
[Bibtex]
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.
[More]
[Bibtex]
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.
[More]
[Bibtex]
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]
[Bibtex]
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]
[Bibtex]
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]
[Bibtex]
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]
[Bibtex]
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.
[More]
[Bibtex]
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]
[Bibtex]
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]
[Bibtex]
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]
[Bibtex]
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]
[Bibtex]