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Cabaraux, P., Agrawal, S. K., Cai, H., Calabro, R. S., Cassali, C., Ilg, W. et al. (2022). Consensus Paper: Ataxic Gait. Cerebellum, 21(2). [More] [Bibtex]
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]
Ilg, W., Müller, B., Faber, J., van Gaalen, J., Hengel, H., Vogt, I. R. et al. (2022). Digital gait biomarkers, but not clinical ataxia scores, allow to capture 1-year longitudinal change in Spinocerebellar ataxia type 3 (SCA3). accepted in Movement Disorders 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]
Hörner, M., Groh, J., Klein, D., Ilg, W., Schöls, L., Dos Santos, S. et al. (2022). CNS-associated T-lymphocytes in a mouse model of Hereditary Spastic Paraplegia type 11 (SPG11) are therapeutic targets for established immunomodulators.. accepted in Experimental Neurology. [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]
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] [Bibtex]
Pomper, J. K., Spadacenta, S., Bunjes, F., Arnstein, D., Giese, M. A. & Thier, P. (2020). Representation of the observer's predicted outcome value in mirror and nonmirror neurons of macaque F5 ventral premotor cortex. J Neurophysiol, 124(3), 941-961. [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]
Ilg, W. & Timmann, D. (2020). General Management of Cerebellar Disorders. An Overview. In: Manto M., Gruol D., Schmahmann J., Koibuchi N., Sillitoe R. (eds) Handbook of the Cerebellum and Cerebellar Disorders.Springer, Cham, 1-28. [More] [Bibtex]
Rauscher, M., Yavari, F., Batsikadze, G., Ludolph, N., Ilg, W., Nitsche, M. et al. (2020). Lack of Cerebellar tDCS Effects on Learning of a Complex Whole Body Dynamic Balance Task in Middle-Aged (50-65 Years) Adults. Neurol. Res. Pract. 2, 38. [More] [Bibtex]
Pfeiffer, F. & Benali, A. (2020). Could non-invasive brain-stimulation prevent neuronal degeneration upon ion channel re-distribution and ion accumulation after demyelination?. Neural Regeneration Research, 15(11), 1977-1980. [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]
Vogel, A. P., Magee, M., Torres-Vega, R., Medrano-Montero, J., Cyngler, M. P., Kruse, M. et al. (2020). Features of speech and swallowing dysfunction in pre-ataxic spinocerebellar ataxia type 2. Neurology, 95(2):e194-e205. [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]
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] [Bibtex]
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] [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]
Lederer, S., Dijkstra, T. & Heskes, T. (2019). Additive Dose Response Models: Defining Synergy. Front. Pharmacol, eCollection 2019, 10(1384). [More] [Bibtex]
Pfeuffer, J., Sachsenberg, T., Dijkstra, T., Serang, O., Reinert, K. & Kohlbacher, O. (2019). EPIFANY - A method for efficient high-confidence protein inference. bioRxiv 10.1101/734327v1. [More] [Bibtex]
Weidmann, L., Dijkstra, T., Kohlbacher, O. & Lupas, A. (2019). Where natural protein sequences stand out from randomness. eLife.bioRxiv 706119. [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]
van den Brand, J. A., Dijkstra, T. M., Wetzels, J., Stengel, B., Metzger, M., Blankestijn, P. J. et al. (2019). Predicting kidney failure from longitudinal kidney function trajectory: A comparison of models. PLoS ONE 14(5): e0216559. [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]
Srulijes, K., Klenk, J., Schwenk, M., Schatton, C., Schwickert, L., Teubner-Liepert, K. et al. (2019). Fall Risk in Relation to Individual Physical Activity Exposure in Patients with Different Neurodegenerative Diseases: a Pilot Study. Cerebellum, 18(3), 340-348. [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]
Ilg, W., Branscheidt, M., Butala, A., Celnik, P., de Paola, L., Horak, F. B. et al. (2018). Consensus paper: Neurophysiological assessments of ataxias in daily practice. Cerebellum,, 17(5), 628-653. [More] [Bibtex]
Thijssen, B., Dijkstra, T., Heskes, T. & Wessels, L. F. (2018). Bayesian data integration for quantifying the contribution of diverse measurements to parameter estimates. Bioinformatics, 34(5), 803-811. [More] [Bibtex]

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