The Section for Computational Sensomotorics investigates theoretical principles in the perception and control of motor actions. Research is organized around three main topics:
1) Clinical movement control and rehabilitation,
2) neural mechanisms of action processing
3) biologically-inspired technical applications and biomedical engineering
Research is highly interdisciplinary, including psychophysical and clinical experimentation, the development of mathematical and computational models, and the development of technical systems that exploit brain-inspired principles or support accurate diagnosis and rehabilitation training in neurological diseases.
For detailed information please see the Section’s website http://www.compsens.uni-tuebingen.de
Clinical Movement Control and Rehabilitation
Applying advanced computational methods, we analyze the body movements of patients with neurological movement disorders. Goals of this work are to identify and to quantify disorder-specific or lesion-specific changes in movement patterns, including especially complex whole-body movements like gait or interactive tasks. Our work addresses movement deficits associated with various neurological disorders, including cerebellar ataxia, Parkinson's disease and apraxia. Another focus of this work is the investigation of motor adaptation and training effects in normal participants and during motor rehabilitation training for neurological patients.
Neural and Computational Principles of Action Processing
We investigate the mechanisms of the perception of complex body movements, and their relationship with motor execution. Our work combines psychophysical experiments and the development of physiologically-inspired neural models in close collaboration with electrophysiologists at the HIH and the CIN. In addition, exploiting advanced methods from computer animation and Virtual Reality (VR), we investigate the role of body movements (facial and body expressions) in social communications and psychiatric disorders, including schizophrenia and autism spectrum disorders.
Biomedical and biologically-motivated technical applications
We develop technical applications for the quantification of movements in patients, specifically focusing on pre-clinical diagnosis of movement disorders and the support of rehabilitation training. In addition, exploiting principles derived from the nervous system, we develop technical systems and algorithms for the recognition and synthesis of complex body movements, e.g. for robotics and computer vision. Present research foci in this domain are the design of cheap systems for movement analysis exploiting the Microsoft Kinect system, and methods for the modeling of complex coordinated movement patterns of humans, which can be exploited for movement synthesis in humanoid robots. A further novel focus is to explore the use of humanoid robots for rehabilitation training.
Giese M A, Ilg W, Golla H, Thier HP (2009) System und Verfahren zum Bestimmen einer Bewegungskategorie sowie deren Ausprägungsgrad. Patent 10 2004 060 602.1-35, Deutsches Patentamt, München.
Giese M A (1998) Effiziente Methode zur Implementierung dynamischer neuronaler Felder. Patent 198 44 364.1, Deutsches Patentamt, München.
Caggiano V, Giese MA, Thier P, Casile A (2015) Encoding of point of view during action observation in the Local Field Potentials of macaque area F5. European Journal of Neuroscience 41(4):466-476
Ilg W, Bastian A, Boesch S, Burciu R, Celnik P, Claassen J et al. (2014) Consensus Paper: Management of Degenerative Cerebellar Disorders. Cerebellum 13(2):248-268
Giese MA (2014) Mirror representations innate versus determined by experience: A viewpoint from learning theory. Behavioural and Brain Sciences 37(2):201-202
Christensen A, Giese MA, Sultan F, Mueller OM, Goericke SL, Ilg W et al. (2014) An intact action-perception coupling depends on the integrity of the cerebellum. Journal of Neuroscience 34(19):6707-6716
Fleischer F, Caggiano V, Thier P, Giese MA (2013) Physiologically inspired model for the visual recognition of transitive hand actions. Journal of Neuroscience 15(33):6563-6580
Caggiano V, Pomper JK, Fleischer F, Fogassi L, Giese MA, Thier P (2013) Mirror neurons in monkey area F5 do not adapt to the observation of repeated actions.Nature Communications 4:1433
Chiovetto E, Giese MA (2013) Kinematics of the coordination of pointing during locomotion. Plos One 8(11)
Synofzik M, Schatton C, Giese MA, Wolf J, Schöls L, Ilg W (2013) Videogame-based coordinative training can improve advanced, multisystemic early-onset ataxia. Journal of Neurology 260(10):2656-2658
Ilg W, Schatton C, Giese MA, Schöls L, Synofzik M (2012) Video game-based coordinative training improves ataxia in children with degenerative ataxia.Neurology 79(20):2056-2060
Caggiano V, Fogassi L, Rizzolatti G, Casile A, Giese MA, Thier P (2012) Mirror neurons encode the subjective value of an observed action. Proceedings of the National Academy of Science 109(29);11848-11853
Caggiano V, Fogassi L, Rizzolatti G, Pomper J, Thier P, Giese MA*, Casile A* (*equal contributions) (2011) View-based encoding of actions in mirror neurons of area F5 in macaque premotor cortex. Current Biology 21(2):144-148
Christensen A, Ilg W, Giese MA (2011) Spatiotemporal tuning of the facilitation of biological motion perception by concurrent motor execution. Journal of Neuroscience 31(9):3493-3499
Ausgewählte Publikationen von 1992-2013 finden sie unter:
For current openings within the Section of Computational Sensomotorics see:
Bachelor/Master theses: Development of KINECT exergames for motor rehabilitation. We offer degree theses in the area of game development! In your Bachelor or Master thesis you will develop a KINECT game for motor rehablitation yourself or you will be part of the development team.