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Prof. Dr. Giese, Martin A.

Head of Section

Contact

Room: 5.532a
Section for Computational Sensomotorics
Department of Cognitive Neurology
Hertie Institute for Clinical Brain Research
Centre for Integrative Neuroscience
University Clinic Tübingen
Otfried-Müller-Str. 25
72076 Tübingen, Germany

+497071 2989124

+49 70712925014


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Martin A. Giese

Research Interests:

  • Neural and NN models of high-level vision (social perception)
  • Neural mechanisms of motion, action, and social perception (physiology, psychophysics)
  • Movement analysis and computational modelling of the motor system
  • Technical applications related to movement disorders and psychiatric diseases
  • Mechanisms of non-invasive neural stimulation

 Short CV:

M. Giese studied Electrical Engineering and Psychology at Ruhr University in Bochum. Following a Postdoc position at the Department of Brain and Cognitive Science at M.I.T., he founded the Boston Research Laboratory for Honda Americas in 2000. From 2001 to 2007, he headed a Junior Research Group at the Hertie Institute for Clinical Brain Research (HIH) at the University of Tübingen. He completed his habilitation at the Department of Informatics at the University of Ulm in 2006. From 2007 to 2008, he held the position of Senior Lecturer at the Department of Psychology at the University of Wales, Bangor. Since 2008 and continuing to the present, he has been heading of the Section for Computational Sensomotorics at the Centre for Integrative Neuroscience and the HIH. His scientific interests are neuroscience and related technical applications. The main topic of his laboratory are the perception and control of complex body motion, neural modelling, and technical and clinical application of learning-based representations for then synthesis and analysis of body movement, and mechanisms of non-invasive brain stimulation. M. Giese has founded the Master's track 'Neural Information Processing' at the Graduate Training Centre for Neuroscience in Tübingen. He has served as Associated Editor and Editor-in-Chief of the ACM Transactions on Applied Perception. He is Associate Editor of Frontiers in Computational Neurosciences and Cognitive Neurodynamics. Furthermore, he serves as the Co-Speaker for the Hertie Network of Excellence in Clinical Neuroscience (site Tübingen) and the Else Kröner-Fresenius Graduate College (EKFS) in Clinical Brain: Artificial Intelligence in Brain Science. Since 2022, he has also been the spokesperson for Research Area N3 of the HIH, which focuses on Neurohabilitation, Neuroprosthetics, and Neurotechnology. He is a member of the steering board of the Competence Center of Biointelligence (e.V.) founded by the Fraunhofer IPA (Stuttgart), and he is a liaison professor of the German National Merit Foundation.

Kurzlebenslauf:

M. Giese hat Elektrotechnik und Psychologie an der Ruhr-Universität Bochum studiert. Nach einem Postdoc an der Abteilung für Brain and Cognitive Science am Massachusetts Institut für Technologie (M.I.T.) begründete er im Jahr 2000 das Boston Forschungslabor von Honda Americas. Von 2001 bis 2007 war er Leiter einer Nachwuchsgruppe am Hertie Institut für klinische Hirnforschung (HIH) in Tübingen. Er hat 2006 in Informatik an der Universität Ulm habilitiert. Von 2007 bis 2008 war er Senior Lecturer am Department of Psychology an der University of Wales, Bangor. Seit 2008 ist er Leiter der Sektion für Theoretische Sensomotorik am Centrum für Integrative Neurowissenschaften (CIN) und am HIH in Tübingen. Die wissenschaftlichen Interessen der Arbeitsgruppe sind im Bereich der theoretischen Neurowissenschaft und verwandter technischer Anwendungen. Ein wesentlicher Fokus sind die neuronalen Mechanismen der Wahrnehmung und Kontrolle von Körperbewegungen, assoziierte neuronale Modelle, sowie technische und klinischen Anwendungen lernbasierter Repräsentationen für die Synthese und Analyse von Bewegungen. Außerdem werden im Nagermodell die Mechanismen nichtinvasiver Hirnstimulation untersucht. M. Giese ist der Begründer des Masters-Programms "Neural Information Processing" am Graduate Training Center for Neuroscience in Tübingen. Er ist bzw. War Associated Editor und Editor-in-Chief der ACM Transactions on Applied Perception. Er ist auch Associate Editor von Frontiers in Computational Neurosciences und von Cognitive Neurodynamics. Er is zudem Ko-Sprecher des Hertie Network of Excellence in Clinical Neuroscience (für Tübingen) und des Else Kröner-Fresenius Graduiertenkollegs (EKFS) ClinBrain: Artificial Intelligence in Brain Science. Seit 2022 ist er auch Sprecher des Forschungsbereiches N3 des HIH, der sich mit  Neurohabilitation, Neuroprothetik und Neurotechnologie befasst. M. Giese ist Mitglied des Vorstandes des Kompetenznetzwerks für Biointelligenz (e.V.), das vom Fraunhofer Institut für Prozessautomatisierung (IPA) begründet wurde. Zudem ist er Vertrauensdozent der Studienstiftung des deutschen Volkes.

 

Projects

Selected Publications

Barliya, A., Krausz, N., Naaman, H., Chiovetto, E., Flash, T. & Giese, M. A. (2023). Human Arm Redundancy - A New Approach for the Inverse Kinematics Problem. bioRxiv. [More] 
Stettler, M., Lappe, A., Taubert, N. & Giese, M. A. (2023). Multi-Domain Norm-referenced Encoding Enables Data Efficient Transfer Learning of Facial Expression Recognition. arXiv preprint arXiv:2304.02309. [More] 
Lang, J., Giese, M. A., Ilg, W. & Otte, S. (2023). Generating Sparse Counterfactual Explanations For Multivariate Time Series. ICANN 2023. [More] 
Laßmann, C., Ilg, W., Rattay, T. W., Schöls, L., Giese, M. A. & Haeufle, D. F. (2023). Dysfunctional neuro-muscular mechanisms explain gradual gait changes in prodromal spastic paraplegia. Journal of NeuroEngineering and Rehabilitation. Jul 15;20(1):90. [More] 
Benali, A., Ramachandra, V., Oelterman, A., Schwarz, C. & Giese, M. A. (2023). Is it possible to separate intra-cortical evoked neural dynamics from peripheral evoked potentials during transcranial magnetic stimulation?. Brain Stimulation, 16, 162. [More] 
Bognár, A., Raman, R., Taubert, N., Li, B., Zafirova, Y., Giese, M. A. et al. (2023). The contribution of dynamics to macaque body and face patch responses. NeuroImage, 269. [More] 
Li, B., Solanas, M. P., Marrazzo, G., Raman, R., Taubert, N., Giese, M. A. et al. (2023). A large-scale brain network of species-specific dynamic human body perception. Progress in Neurobiology, 221. [More] 
Ramachandra, V., Giese, M. A. & Benali, A. (2022). The Effects of Low-Intensity Repetitive Transcranial Magnetic Stimulation on White Matter Plasticity and Depression. . [More] 
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] 
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. Movement Disorders 2022. [More] 
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] 
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] 
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] 
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.. Proceedings of the 2021 IEEE International Joint Conference on Neural Networks, 1-8. [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] 
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] 
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] 
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] 
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] 
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] 
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] 
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] 
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] 
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] 
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] 
Mukovskiy, A., Vassallo, C., Naveau, M., Stasse, O., Souères, P. & Giese, M. A. (2017). Adaptive synthesis of dynamically feasible full-body movements for the humanoid robot HRP-2 by flexible combination of learned dynamic movement primitives. Robotics and Autonomous Systems, 91, 270. [More] 
Giese, M. A. (2016). Face Recognition: Canonical Mechanisms at Multiple Timescales. Curr Biol., 26(13), 534-537. [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] 
Fleischer, F., Caggiano, V., Thier, P. & Giese, M. A. (2013). Physiologically Inspired Model for the Visual Recognition of Transitive Hand Actions. The Journal of Neuroscience, 15(33), 6563-80. [More] 
Caggiano, V., Pomper, J. K., Fleischer, F., Fogassi, L., Giese, M. A. & Thier, P. (2013). Mirror neurons in monkey area F5 do not adapt to the observation of repeated actions Reference. Nat. Commun., 4, 1433. [More] 
Mukovskiy, A., Slotine, J.-J. & Giese, M. A. (2013). Dynamically stable control of articulated crowds. Journal of Computational Science, 4(4), 304-310. [More] 
Ilg, W., Schatton, C., Giese, M. A., Schöls, L. & Synofzik, M. (2012). Video game-based coordinative training improves ataxia in children with degenerative ataxia. Neurology, 79(20), 2056-60. [More] 
Caggiano, V., Fogassi, L., Rizzolatti, G., Casile, A., Giese, M. A. & Thier, P. (2012). Mirror neurons encode the subjective value of an observed action. PNAS, 109(29), 11848-11853. [More] 
Omlor, L. & Giese, M. A. (2011). Anechoic Blind Source Separation using Wigner Marginals. Journal of Machine Learning Research, 12, 1111-1148. [More] 
Caggiano, V., Fogassi, L., Rizzolatti, G., Pomper, J. K., Thier, P., Giese, M. A. et al. (2011). View-Based Encoding of Actions in Mirror Neurons of Area F5 in Macaque Premotor Cortex. Current Biology, 21(2), 144-148. [More] 
Ilg, W., Synofzik, M., Broetz, D., Burkard, S., Giese, M. A. & Schöls, L. (2009). Intensive coordinative training improves motor performance in degenerative disease. Neurology 2009, 73, 1823-1830. [More] 
Roether, C. L., Omlor, L. & Giese, M. A. (2008). Lateral asymmetry of bodily emotion expression. Current Biology, 18, R329-330. [More] 
Ilg, W., Golla, H., Thier, P. & Giese, M. A. (2007). Specific influences of cerebellar dysfunctions on gait. Brain, 130, 786-798. [More] 
Leopold, D. A., Bondar, I. V. & Giese, M. A. (2006). Norm-based face encoding by single neurons in the monkey inferotemporal cortex. Nature, 442(7102), 572-575. [More] 
Casile, A. & Giese, M. A. (2006). Non-visual motor learning influences the recognition of biological motion. Current Biology, 16(1), 69-74. [More] 
Giese, M. A. & Poggio, T. A. (2003). Neural mechanisms for the recognition of biological movements and action. Nature Reviews Neuroscience, 4, 179-192. [More]