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]
Benali, A., Li, B., Ramachandra, V., Oeltermann, A., Giese, M. A. & Schwarz, C (2021). Deciphering the dynamics of neuronal activity evoked by transcranial magnetic stimulation.. Brain Stimulation 14 (6) , 1745. Elsevier.
[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. Journal of Vision September 2021, Vol.21, 2434..
[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., 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]
[Bibtex]
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]
[Bibtex]
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]
[Bibtex]
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]
[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.. Journal of Vision December 2022, Vol.22, 3610.
[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]
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]
[Bibtex]
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]
[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, May 21-26 .
[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 2021, Germany .
[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. European Archives of Psychiatry and Clinical Neuroscience, 270(7), 819-828.
[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 .
[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]
Taubert, N., Stettler, M., Sting, L., Siebert, R., Spadacenta, S., Dicke, P. et al (2020). Cross-species diferences in the perception of dynamic facial expressions. VSS 2020, 19-24 Jun .
[More]
[Bibtex]
Stettler, M. & Giese, M. A (2020). Physiologically-inspired Neural Circuits for the Recognition of Dynamic Faces. ICANN 2020 .
[More]
[Bibtex]
Salatiello, A. & Giese, M. A (2020). Recurrent Neural Network Learning of Performance and Intrinsic Population Dynamics from Sparse Neural Data. ICANN2020, arXiv:2005.02211v1 [q-bio.NC] .
[More]
[Bibtex]
Ardestani, M. H., Mukovskiy, A., Stettler, M., Saini, N. & Giese, M. A (2020). Physiologically-inspired neural model for the visual recognition of social interactions from abstract and natural stimuli. VSS 2020, 19-24 Jun .
[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]
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]
[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]
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]
[Bibtex]
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]
[Bibtex]