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Section for Computational Sensomotorics

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

Research Projects

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.

Research Group
 Mirjana Angelovska
Mirjana Angelovska Secretary
Section Computational Sensomotorics
07071 29-89137 
 Klaus Beyreuther
Klaus Beyreuther IT Development and Coordination
07071 29-87418 
Dr. Petya Georgieva
Dr. Petya Georgieva Secretary
Section Computational Sensomotorics
07071 29-89137 
Prof. Dr. Martin Giese
Prof. Dr. Martin Giese Research Group Leader
Section Computational Sensomotorics
07071 29-89124 
Dr. Winfried Ilg
Dr. Winfried Ilg PostDoc
Section Computational Sensomotorics
07071 29-89125 
 Prerana Kumar
Prerana Kumar Guest Researcher
Section Computational Sensomotorics
07071 29-89137 
 Jana Lang
Jana Lang PhD Student
Section Computational Sensomotorics
07071 29-89131 
 Alexander Lappe
Alexander Lappe PhD Student
Section Computational Sensomotorics
 Lucas Martini
Lucas Martini PhD Student
Section Computational Sensomotorics
07071 29-89130 
Dr. Albert Mukovskiy
Dr. Albert Mukovskiy PostDoc
Section Computational Sensomotorics
07071 29-89224 
 Vishnudev Ramachandra
Vishnudev Ramachandra PostDoc
Section Computational Sensomotorics
07071 29-89223 
 Alessandro Salatiello
Alessandro Salatiello PhD Student
Section Computational Sensomotorics
07071 29-89130 
 Jens Seemann
Jens Seemann PhD Student
Section Computational Sensomotorics
07071 29-89131 
 Jesse St. Amand
Jesse St. Amand PhD Student
Section Computational Sensomotorics
07071 29-89135 
 Michael Stettler
Michael Stettler PhD Student
Section Computational Sensomotorics
07071 29-89135 
 Nick Taubert
Nick Taubert PhD Student
Section Computational Sensomotorics
07071 29-89135 
M.Sc. Annika Thierfelder
M.Sc. Annika Thierfelder PhD Student
Section Computational Sensomotorics
07071 29-89131 
 t ransfer
t ransfer
machine accounts



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.

Research Group Leader
Prof. Dr. Martin Giese Address

Center of Neurology
Hertie Institute for Clinical Brain Research
Department Cognitive Neurology

Otfried-Müller-Straße 25
72076 Tübingen

Phone: +49 (0)7071 29-89124
Fax: +49 (0)7071 29-25011