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Prof. Dr. Giese, Martin A.

Head of Section


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 models for high level vision
  • Movement analysis and computational modelling of the motor system
  • Motion- and action perception
  • Movement disoders
  • Psychophysics of action and social perception and of sensorimotor control


 Short CV:

M. Giese has studied Electrical Engineering and Psychology at the Ruhr University in Bochum. After a Postdoc at the Dept. of Brain and Cognitive Science at M.I.T., he founded in 2000 the Boston Research Laboratory von Honda Americas. From 2001 bis 2007 he was leader of a Junior Research Group at the Hertie Institute for Clinical Brain Research at the University of Tübingen. He received his habilitation at the Dept. for Informatics at the University of Ulm. From  2007 to 2008 he was Senior Lecturer at the Dept. of Psychology at the University of Wales, Bangor. Since 2008 he is head of the Section for Computational Sensomotorics at the Centre for Integrative Neuroscience and the Hertie Institute.  His scientific intersts are neuroscience and related technical applications. The main topic of his lab are th perception and control of complex body motion, neural modeling, and technical and clincial application of learning-based representations for then syntheis and analysis of body movement. M Giese founded the Masters track 'Neural Informaiton Processing' at the Graduate Training  Centre for Neuroscience in Tübingen.He is Associate editor of the ACM Transaction on Applied Perception, and of Frontiers in Computational Neurosciences. In addition, he is Vertrauensdozent of the German National Merit Foundation.


M. Giese hat Elektrotechnik und Psychologie an der Ruhr-Universität Bochum studiert. Nach einem Postdoc am Dept. of Brain and Cognitive Science am M.I.T., begründete er 2000 das Boston Research Laboratory von Honda Americas. Von 2001 bis 2007 war er Leiter einer Nachwuchsgruppe am Hertie Institut in Tübingen und habilitierte sich für Informatik an der Universität Ulm. Von 2007-2008 nahm er eine Position als Senior Lecturer am Dept. of Psychology der University of Wales, Bangor an. Seit 2008 ist er Leiter der Sektion für Theoretische Sensomotrik am Centrum für Integrative Neurowissenschaften und dem Hertie- Institut. Seine wissenschaftlichen Interessen liegen auf dem Gebiet der Neurowissenschaften und verwandten technischen Anwendungen. Sein Hauptinteresse gilt der Wahrnehmung und Kontrolle von Körperbewegungen, neuronalen Modellen und technischen und klinischen Anwendungen lernbasierter Repräsentationen für die Synthese und Analyse von Bewegungen.  M. Giese ist Begründer des Masters-Programms ‚Neural Information Processing‘ am Graduate Training Center for Neuroscience, Tübingen, und  Vertrauensdozent der Studienstiftung des deutschen Volkes. Er ist Associate Editor der Zeitschriften ACM Transactions on Applied Perception und von Frontiers in Computational Neruosciences.



Selected Publications

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]