ARL homepage.

 

Journal Papers and Reviewed Conference Papers

2008

  • Giese M A, Thornton I M, Edelman S (2008) Metrics of the perception of body movement. Journal of Vision, in press.

  • Curio C, Giese M A, Breidt M, Kleiner M, Bülthoff H H (2008) Probing dynamic human facial action recognition from the other side of the mean. ACM Symposium on Applied Perception in Graphics and Visualization, in press.

  • Fleischer F, Casile A, Giese MA. Neural Model for the Visual Recognition of Goal-directed Movements. Proc Int Conf Artificial Neural Networks
    (ICANN) 2008; in press.

  • Fleischer F, Casile A, Giese MA. Physiologically-inspired model for the visual tuning properties of mirror neurons. Proc Int Conf Cognitive Systems (CogSys) 2008.

  • Park A, Mukovskiy A, Omlor L, Giese M A (2008) Synthesis of character behaviour by dynamic interaction of synergies learned from motion capture data. The 16-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG), Plzen, Czech Republic.
  • Park A, Mukovskiy A, Omlor L, Giese M A (2008) Self organized character animation based on learned synergies from full-body motion capture data. International Conference on Cognitive Systems (CogSys), Karlsruhe, Germany, in press
  • Roether C L, Omlor L, Giese M A (2008) Lateral asymmetry of bodily emotion expression. Current Biology, 18(8), R329-330.

2007

  • Dayan E, Casile A, Levit-Binnun N, Giese MA, Hendler T, Flash T (2007) Neural representations of kinematic laws of motion: evidence for action-perception coupling. Proc Natl Acad Sci USA 104(51):20582-10587.
  • Giese M A, Leopold, D A (2007) Wie wir Gesichter erkennen. Spektrum der Wissenschaft, 3/07, 20-23.
  • Ilg W, Golla H, Thier P, and Giese MA.(2007) Specific influences of cerebellar dysfunctions on gait. Brain 130: 786-798
  • Ilg W, Röhrig R, Thier P, and Giese MA. (2007) Learning-based methods for the analysis of intra-limb coordination and adaptation of locomotor patterns in cerebellar patients IEEE 10th International Conference on Rehabilitation Robotics Noordwijk, The Netherlands 2007, p. 1090-1095.
  • Broetz D, Burkhard S, Schoels L, Synofzik M, and Ilg W. Koordination im Mittelpunkt - Physiotherapiekonzept bei zerebellärer Ataxie Physiopraxis: 23-26, 2007.
  • Omlor L , Giese  M A (2007) Learning of translation-invariant independent components: multivariate anechoic mixtures. Lecture Notes in Computer Science (4666),762-769
  • Omlor L, Giese M A (2007) Blind source separation for over-determined delayed mixtures. Advances in Neural Information Processing Systems 19, 1049-1056
  • Omlor L, Giese M A (2007) Extraction of spatio-temporal primitives of emotional body expressions. Neurocomputing, 70(10-12), 1938-1942.
  • Graf M, Reitzner B, Corves C, Casile A, Giese M, Prinz W (2007) Predicting point-light actions in real-time. Neuroimage, 36 Suppl 2, T22-32.

 

    2006
  • Casile A, Giese M A (2006) Non-visual motor learning influences the recognition of biological motion. Current Biology, 16(1), 69-74. [PDF] [Suppl.Inf.]

  • Casile A, Rucci M (2006) A theoretical analysis of the influence of fixational instability on the development of thalamocortical connectivity. Neural Computation, 18, 569-590. [PDF]

  • Curio C, Breidt M, Kleiner M, Vuong Q C, Giese M A, Bülthoff H H (2006) Semantic 3D motion retargetting facial animation. ACM Symposium on Applied Perception in Graphics and Visualization (2006), Boston, MA, ACM press, 77-84.

  • Jastorff J, Kourtzi Z, Giese M A (2006) Learning to discriminate complex movements: Natural vs. artificial trajectories. Journal of Vision, 6, 791-804. [PDF]

  • Leopold, D A, Bondar I V, Giese M A (2006) Norm-based face encoding by single neurons in the monkey inferotemporal cortex. Nature 442, 572-575. [PDF] [Suppl. Inf.].

  • Omlor L, Giese M A (2006) Unsupervised learning of spatio-temporal primitives of emotional gait. In: Perception and Interactive Technologies 2006, Lecture Notes in Artificial Intelligence 4021, Springer, New York, pp. 188-192. [PDF]

  • Omlor L, Giese M A (2006) Extraction of spatio-temporal primitives of emotional body expressions. Neurocomputing, in press. [PDF]

  • Omlor L, Giese M A (2006) Blind source separation for over-detemined delayed mixtures. In: Advances in Neural Information Processing Systems, 19, MIT Press, Cambridge, USA, in press. [PDF]

  • Li S, Ostwald D, Giese M A, Kourtzi Z (2006) Flexible coding for categorical decisions in the human brain. Journal of Neuroscience, 27, 12321-12330.

    2005
  • Casile A, Giese M A (2005) Critical features for the recognition of biological motion, Journal of Vision, 5, 348-360 [PDF]

  • Curio C., Giese M. A. (2005) Combining view-based and model-based tracking of articulated human movements. I7th IEEE Workshop on Applications of Computer Vision / IEEE Workshop on Motion and Video Computing (WACV/MOTION  2005), 5-7 January 2005, Breckenridge, CO, USA, pp. 261-268. [PDF]

  • Giese M. A. (2005): Computational principles for the recognition of biological movements.  In: G. Knoblich, I.M. Thornton, M. Grosjean, M. Shiffrar (eds.): Perception of the Human Body from the Inside Out, pp. 323-359. [PDF]

  • Giese M. A., Leopold D.A. (2005) Physiologically inspired neural model for the encoding of face spaces. Neurocomputing 65-66, 93-101.  [PDF]

  • Mezger J, Ilg W, Giese M A (2005) Trajectory synthesis by hierarchical spatio-temporal correspondence: comparison of different methods. ACM Symposium on Applied Perception in Graphics and Visualization 2005, A Coruña, Spain, August 26- 28, 2005, ACM press, pp. 25-32. [PDF]

  • Rucci M, Casile A (2005): Fixational instability and natural image statistics: implications for early visual representations. Network, 16(2-3), 121-38

  • Sigala R, Serre, T, Poggio T, Giese M A (2005)  Learning features of intermediate complexity for the recognition of biological motion. Proceedings of the International Conference on Artificial Neural Networks (ICANN 2005), Springer, Berlin, pp. 241-246. [PDF]

 

    2004
  • Giese M. A. (2004): Neural model for biological movement recognition.  In: L.M. Vaina, S. A. Beardsley, S. Rushton (eds.): Optic Flow and Beyond. Kluwer Academic Publihers, Dordrecht, NL, pp. 443-470. [PDF]

  • Ilg W, Bakir G H, Mezger J, Giese M A (2004) On the representation, learning and transfer of spatio-temporal movement characteristics. International Journal of Humanoid Robotics, Vol 1, Number 4, pp 613-636 [PDF].

  • Jastorff J, Giese MA (2004): Time-dependent hebbian rules for the learning of templates for visual motion recognition. In Ilg U, Bülthoff HH, Mallot H (eds): Dynamic Perception; Infix, Berlin, 151-156 [PDF]

  • Rucci M, Casile A (2004): Decorrelation of neural activity during fixational eye movements: Possible implications for the refinement of V1 receptive fields. Visual Neuroscience, 21(5):725-733.

 

    2003
     
  • Casile A, Giese M (2003): Roles of motion and form in biological motion recognition. In: O. Kaynak, E. Alpaydin, E. Oja, L. Xu (eds.) Artifical Networks and Neural Information Processing Lecture Notes in Computer Science 2714, pp. 854-862.  [PDF].

  • Giese M A (2003): Learning recurrent neural models with minimal complexity. Neurocomputing 5254, 277 283. [PDF]

  • Giese M A, Poggio T (2003): Neural mechanisms for the recognition of biological movements and action. Nature Reviews Neuroscience 4, 179-192. [PDF].

  • Hock H S, Schöner G, Giese M A (2003): The dynamical foundations of motion pattern formation: stability, selective adaptation, and perceptual continuity. Perception and Psychophysics 65, 429-457. [PDF]

  • Ilg W,  Bakir G H,  Franz M O,  Giese M A  (2003):  Hierarchical Spatio-Temporal Morphable Models for Representation of complex movements for Imitation Learning. In Proceedings of the 11th IEEE International Conference on Advanced Robotics, Coimbra, Juni 2003, pp 453-458 [PDF]

  • Ilg W, Bakir G H, Mezger J, Giese M A (2003): On the Representation, Learning and Transfer of Spatio-Temporal Movement Characteristics. In Proceedings of the 3th IEEE International Conference on Humanoid Robotics, Karlsruhe, Oktober 2003. [PDF]

  • Ilg W, Mezger J, Giese M A (2003): Estimation of Skill Levels in Sports based on Hierarchical Spatio-Temporal Correspondences. In Proccedings of the 25th DAGM Pattern Recognition Symposium, Magdeburg, September 2003, pp. 523-531. [PDF]
     


    2002
  • Giese M A, Lappe M (2002): Measurement of generalization fields for the recognition of biological motion.Vision Researech, 38, 1847-1858. [PS] [PDF]
  • Giese M A, Xie X (2002) Exact solution of the nonlinear dynamics of recurrent neural mechanisms for direction selectivity. Neurocomputing,44-46(C): 417-422.  [PS] [PDF]
  • Giese M A (2002): Learning recurrent neural models with minimal complexity from sparse neural data. In: J. Suykens: NATO Workshop on Learning Theory and Practice, Leuven, July 2002. 
  • Giese M A (2002): Prototypes of biological movements in brains and machines. In: Bülthoff H H, Lee S W, Poggio T, Wallraven C (eds.): Biologically motivated Computer Vision; Springer, Berlin 157-170. [PS] [PDF]
  • Giese M A, Knappmeyer B, Bülthoff H H (2002): Automatic synthesis of sequences of human movements by linear combination of learned example patterns. In: Bülthoff H H, Lee S W, Poggio T, Wallraven C (eds.): Biologically motivated Computer Vision; Springer, Berlin 538-547. [PS] [PDF]
  • Ilg W, Giese M A (2002): Modeling of movement sequences based on hierarchical spatio-temporal correspondences of movement primitives. In: Bülthoff H H, Lee S W, Poggio T, Wallraven C (eds.): Biologically motivated Computer Vision; Springer, Berlin 528-537.[PS] [PS.GZ] [PDF]
  • Ilg W, Giese M A (2002): Modeling of movement sequences based on hierarchical spatial-temporal correspondences of movement primitives. In Würz RP, Lappe M (eds): Dynamic Perception; Infix, Berlin, 127-132. [PS] [PS.GZ] [PDF]
  • Jastorff J, Kourtzi Z, Giese MA (2002): Learning of the discrimination of artificial complex biological motion. In Würz RP, Lappe M (eds): Dynamic Perception; Infix, Berlin, 133-138. [PS][PDF]
  • Xie X, Giese M A (2002): Nonlinear dynamics of direction-selective recurrent neural media. Phys Rev E Stat Nonlin Soft Matter Phys. 65 (5 Pt 1):051904 (2002). [PS] [PDF]
  • Yu, A J, Giese, M A, Poggio, T (2002). Biophysiologically plausible implementations of maximum operation. Neural Computation, 14 (12) 2857-2881. [PS] [PDF]
    2001
  • Mukovski A, Gorinevski D, Giese M A (2001): Formation of pinheels of preferred orientation by learning sparse neural representations of natural images,Neurocomputing 44-46(C):549-553. [abstract] [PDF]
  • Xie X, Giese M A (2001): Generating velocity tuning by asymmetric recurrent connections. In: T. G. Dietterich and S. Becker and Z. Ghahramani (eds): Advances in Neural Information Processing Systems 14, MIT Press, Cambridge, USA. [PS] [PDF]
    2000
  • Giese M A, Poggio T (2000): Morphable models for the analysis and synthesis of complex motion patterns. International Journal of Computer Vision,38(1), 59-73. [PS] [PDF]
  • Giese M A (2000): Neural field model for the recognition of biological motion. Second International ICSC Symposium on Neural Computation NC 2000, May 23-26, Berlin, Germany. [PS] [PDF]
  • Giese M A (2000): Neural Model for the Recognition of Biological Motion. In: Dynamische Perzeption 2, G. Baratoff and H. Neumann (eds.), Infix Verlag, Berlin, 105-110. [PS] [PDF]
  • Giese M A, Poggio T (2000): Quantification and Classification of Locomotion Patterns by Spatio-temporal Morphable Models. In: Third IEEE Workshop on Visual Surveillance, Dublin, Ireland, July 1, 2000. [PS] [PDF]
    1999
  • Giese, M.A. (1999) Evidence for Multi-functional Interactions in Early Visual Motion Processing, Trends in Neurosciences22, 287-290. [PDF]
  • Giese, M.A. (1999) Quick work but variable quality. Nature, 401,13.
  • Jancke D,  Erlhagen W, Dinse H R , Akhavan A C,  Giese M A, Steinhage A, Schöner G (1999): Population representation of retinal position in cat primary visual cortex: interaction and dynamics. Journal of Neuroscience,19, 9016-9028. [PDF]
  • Giese, M.A. and T. Poggio (1999): Synthesis and Recognition of Biological Motion Patterns Based on Linear Superposition of Prototypical Motion Sequences. In:  Proceedings of the IEEE Workshop on Multi-View Modeling and Analysis of Visual Scene, Fort Collins, CO, June 21-23, 1999, 73-80. [PS] [PDF]
  • Dinse H R, Jancke D, Akhavan A C, Kalt T, Giese M A,  Schöner G,(1999): Dynamic population representations of the visual and somatosensory cortex. In Amari S, Xu L, Chan L, King I, Leung K (eds): Proceedings of the International Conference on Neural Information Processing 96. Springer, NY, pp.1285-1290. 
    1998
  • Massberg W, Weigt D, Giese M A, Steinhage A, Schöner G (1998): Selbstorganisierende Fertigungssteuerung: Selbstorganisierendes Modell der Fertigungssteuerung auf der Basis neuronaler Dynamik. WT Werkstatt Technik, 7/8-98, 329-332.
  • Giese M A (1998): Dynamic neural field model links neural and computational theories of motion perception. In Ritter H, Posch S: Workshop Dynamische Perzeption. Infix Verlag, St. Augustin, Germany. 
    1997 and before
  • Giese M A (1997): "We" vs "They" - the viewpoint of neuroinfomatics. International Textbook Research, 2, 145-149.
  • Giese M A, Dijkstra T M H, Schöner G, Gielen C C A M (1996) Identification of the nonlinear state-space dynamics of the action perception cycle for visually induced postural sway. Biol Cybern, 74: 427-437. [PS] [PDF]
  • Giese M A, Schöner G, Hock H S (1996) The dynamics of the perceptual organization in apparent motion. In Kappen B, Gielen, S (eds): Neural Networks: Artificial Intelligence and Industrial Applications. Springer, Berlin: 165-168.  [PS] [PDF]
  • Giese M A, Schöner G, Hock H S (1996) Neural field dynamics for motion perception. In von der Malsburg C, von Seelen W, Vorbrüggen J C, Sendhoff B: Artificial Neural networks - ICANN 96. Springer, Berlin: 335-340. [PS] [PDF]
  • Jancke D, Akhavan A C, Erlhagen W, Giese M A, Steinhage A, Schöner G, Dinse H R (1996) Population coding in cat visual cortex reveals nonlinear interaction as predicted by a neural field model. In von der Malsburg C, von Seelen W, Vorbrüggen J C, Sendhoff B: Artificial Neural networks - ICANN 96.} Springer, Berlin: 641-648. [PS] [PDF]
  • Neven H, Steinhage A, Bruckhoff C, Giese M (1996) Dynamical systems for vision-based autonomous mobile robots. In: Maes P, Mataric M, Meyer M A, Pollack J, Wilson S W (eds): From animals to Animats 4: Proceedings of the Fourth International Conference on Simulation of Adaptative Behavior, Cambridge MA. The MIT Press/Bradford Books, Cambridge MA. [PS] [PDF]
  • Dijkstra T M H, Schöner G, Giese M, Gielen C C A M (1994) Frequency dependence of the action-perception cycle for postural control in a moving visual environment: relative phase dynamics. Biol Cybern,71: 489-501. [PS] [PDF]
Memos and Academic Theses
  • Giese M A, Poggio T (2002): Neural mechanisms for the recognition of biological movements and actions. AI Memo #AI Memo 2002-012/CBCL Paper #219. Massachusetts Institute of Technology, Cambridge, MA. [PS] [PDF]
  • Giese M A, Xie X (2002): Exact solution of the nonlinear dynamics of recurrent neural mechanisms for direction selectivity . AI Memo #AI Memo 2002-013/CBCL Paper #220. Massachusetts Institute of Technology, Cambridge, MA. [PS] [PDF]
  • Yu, A J, Giese, M A, Poggio, T (2001). Biologically plausible neural circuits for realization of maximum operations. AI Memo #2001-022/CBCL Paper #207. Massachusetts Institute of Technology, Cambridge, MA. [PS] [PDF]
  • Giese M A (1998): A Dynamic Neural Field Model for the Perception of Apparent Motion. Dissertationsschrift. Fakultat fur Elektrotechnik, Ruhr-Uni Bochum. [PS] [PDF]
  • Diploma Thesis: Dynamik der viso-motorischen Koordination beim Moving-Room-Paradigma, Masters Thesis, 1993 (German version only) [PS] [PDF]

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Conference Abstracts  and Non-reviewed Publications (Selection)

2006

  • Giese MA, Omlor L, Roether CL (2006) Learning and perceiving informative spatio-temporal components from emotional body expressions.  Journal of Vision 6, 795a
  • Graf M, Reitzner B, Giese M A, Casile A, Prinz W (2006) Predicting point-light actions in real-time.  Journal of Vision 6, 793a.
  • Omlor L, Giese M A (2006) Extraction of spatio-temporal primitives of emotional body expressions. Meeting of the Organization of Computational Neuroscience (CNS), Edinburgh, UK, in press.
  • Omlor L, Roether, C L, Giese M A (2006) Unsupervised learning of perceptional important features in emotional body expressions. In: H.H. Bülthoff, K. Gegenfurtner, H.A. Mallot & R. Ulrich (eds.) Beiträge zur 9. Tübinger Wahrnehmungskonferenz. Kirchentellinsfurt: Knirsch.
  • Omlor L, Roether, C L, Giese M A (2006) Extraction of spatio-temporal primitives from emotional gait patterns. 5th Forum of European Neurosciences (FENS), Vienna, Austria.
  • Roether C L, Omlor L, Giese M A (2006) Optimal Bayesian integration of components during the visual recognition of emotional body expressions. 6th Annual Meeting of the Vision Sciences Society, Sarasota, FL, USA.
  • Roether CL, Omlor L, Giese, MA (2006). Optimal bayesian integration of components during the visual recognition of emotional body expressions Journal of Vision 6, 1040a.
  • Roether CL, Omlor L, Giese MA (2006) Optimal integration of movement components for the visual recognition of emotional body expressions. In: H.H. Bülthoff, K. Gegenfurtner, H.A. Mallot & R. Ulrich (eds.), TWK 2006, Beiträge zur 9. Tübinger Wahrnehmungskonferenz. Kirchentellinsfurt: Knirsch..

 

2005

  • Casile A, Giese MA (2005): Possible influences of non-visual motor training on the perception of biological motion. 9th European Congress of Psychology, Granada, Spain - Invited Talk
  • Graf M, Giese M A, Casile A, Prinz W (2005) Predicting point-light actions. In: Hommel B, Band G P H, Heij L W, Wolters G (eds) Proceedings of the 14th Meeting of the European Society for Cognitive Psychology, Leiden: European Society for Cognitive Psychology, 40.
  • Ilg W, Golla H, Giese MA (2005) Velocity-dependent stability of gait for patients with balance impairments can be explained by biomechanical stabilization. XVIIth Conference of the International Society for Postural and Gait Research
  • Jastorff J, Kourtzi Z, Giese MA (2005) Learning of biological motion: Combining fMRI and theoretical modeling. In: H.H. Bülthoff , H.A.Mallot, R. Ulrich, F.A. Wichmann (eds): Beiträge zur 8. Tübinger Wahrnehmungskonferenz; Knirsch, Kirchentellinsfurt.
  • Jastorff J, Kourtzi Z, Giese MA (2005) Neural plasticity mechanisms for learning of biological motion. 5th Annual Meeting of the Vision Sciences Society
  • Jastorff J, Kourtzi Z., Giese MA (2005) Visual learning of complex movements: Investigation of neural plasticity mechanisms. Perception 34 Suppl.
  • Roether CL, Giese MA (2005) Integration of synergies in visual recognition of emotional human walking. 5th Annual Meeting of the Vision Sciences Society
  • Roether CL, Giese MA (2005) Recognizing emotions expressed in human walking: integration of synergies. In: H.H. Bülthoff , H.A.Mallot, R. Ulrich, F.A. Wichmann (eds): Beiträge zur 8. Tübinger Wahrnehmungskonferenz; Knirsch, Kirchentellinsfurt.
  • Roether CL, Giese MA (2005) Statistically optimal integration of synergies in the visual perception of emotion from gait. Perception 34 Suppl.
  • Sarkheil P, Jastorff J, Giese MA, Kourtzi Z (2005) Categorization of complex dynamic patterns in the human brain. In: H.H. Bülthoff , H.A.Mallot, R. Ulrich, F.A. Wichmann (eds): Beiträge zur 8. Tübinger Wahrnehmungskonferenz; Knirsch, Kirchentellinsfurt.
  • Sarkheil P, Jastorff J, Giese MA, Kourtzi Z (2005) Categorization of complex dynamic patterns in the human brain. 5th Annual Meeting of the Vision Sciences Society

 

2004

  • Golla H, Ilg W, Thier H.P., Giese M.A. (2004) Quantifizierung raum-zeitlicher Bewegungscharakteristiken fuer cerebellaer ataktischen Gang.  77. Kongress der Deutschen Gesellschaft für Neurologie. Duesseldorf, Oktober 2004. POSTER AWARD of the Deutsche Gesellschaft für Neurologie.
  • Ilg W, Giese MA, Golla H, Thier P:  Quantification of Spatio-Temporal Characteristics of  Walking Trajectories of Cerebellat Patients. 13th Annual Meeting of the European Society for Movement Analysis in Adults and Children. Warschau, September, 2004. 
  • Casile A, Giese MA (2004) Does non/visual motor training influence the recognition of biological motion? In: Bülthoff HH, Mallot HA, Ulrich R, Wichmann FA (eds): Beiträge zur 7. Tübinger Wahrnehmungskonferenz; Knirsch, Kirchentellinsfurt, 79.
  • Giese M A, Sigala R A, Wallraven C, Leopold D A (2004) Neuerophysiologically inspired adaptive model for the encoding of face spaces. In: Kerzel D., Franz F, Gegenfurtner K (eds): Beiträge zur 46. Tagung experimentell arbeitender Psychologen, Pabst Science Publishers, Lengerich, Germany, 89.
  • Giese M A, Sigala R A, Wallraven C, Leopold D A (2004) Physiologically inspired neural model for the prototype-referenced encoding of faces. Proceedings of the Vision Science Society (VSS). Sarasota, USA, May 2004, in press.
  • Ilg W, Golla H, Wiestler T., Thier H.P., Giese M.A. (2004) Quantification of the spatio-temporal Characteristics of  Walking Trajectories of patients suffering from cerebellar disease .TWK. In: Bülthoff HH, Mallot HA, Ulrich R, Wichmann FA (eds): Beiträge zur 7. Tübinger Wahrnehmungskonferenz. Knirsch, Kirchentellinsfurt. [PDF]
  • Ilg W, Golla H, Wiestler T, Thier P, Giese M.A. (2004) To the Impact of the Cerebellum for inter-joint Coordination. Annual Meeting on Neural Movement Control. Sitges, Spain.
  • Jastorff J, Giese MA, Kourtzi Z (2004) Neural correlates of the learning of biological motion: An fMRI adaptation experiment. In: Bülthoff HH, Mallot HA, Ulrich R, Wichmann FA (eds): Beiträge zur 7. Tübinger Wahrnehmungskonferenz; Knirsch, Kirchentellinsfurt.
  • Jastorff J, Kourtzi Z, Giese MA (2004) fMRI adaptation dissociates multiple areas involved in biological motion recognition. In Kerzel D, Franz V, Gegenfurtner K (eds): Beiträge zur 46. Tagung experimentell arbeitender Psychologen; Papst Science Publishers, Lengerich 126.
  • Jastorff J, Giese MA, Kourtzi Z (2004) Perceptual learning of novel biological movements in the human visual brain. 34th Annual Meeting of the Society for Neuroscience, San Diego, United States.
  • Jastorff J, Giese MA, Kourtzi Z (2004) Funktionelle kernspintomographische Untersuchungen zur Grundlage des visuellen Lernens komplexer biologischer Bewegungen. Deutsche Gesellschaft für Klinische Neurophysiologie, Jena, Germany.
  • Knappmeyer B K, Giese M A, Bülthoff H H (2004) Facial motion and the carivature effect. In: Kerzel D, Franz F, Gegenfurtner K (eds): Beiträge zur 46. Tagung experimentell arbeitender Psychologen. Pabst Science Publishers, Lengerich, Germany, 141.
  • Sigala R., Giese M.A., Wallraven C., Leopold D.A. (2004) Physiologically plausible model for the prototype-referenced encoding of faces. TWK. In: Bülthoff HH, Mallot HA, Ulrich R, Wichmann FA (eds): Beiträge zur 7. Tübinger Wahrnehmungskonferenz. Knirsch, Kirchentellinsfurt, 144.

2003

  • Bakir G H, Ilg W, Franz MO, Giese, MA (2003) Constraints measures and reproduction of style in robot imitation learning. TWK. In: Bülthoff HH, Gegenfurtner KR, Mallot H A, Ulrich R, Wichmann FA (eds): Beiträge zur 6. Tübinger Wahrnehmungskonferenz; Knirsch, Kirchentellinsfurt, 70. [PDF]
  • Casile A, Giese M (2003): Motion and Form information in the recognition of point-light stimuli.In: Bülthoff HH, Gegenfurtner KR, Mallot HA, Ulrich R, Wichmann F A (eds): Beiträge zur 6. Tübinger Wahrnehmungskonferenz; Knirsch, Kirchentellinsfurt, 91. 
  • Ilg W, Bakir GH, Franz MO, Giese, MA (2003) Representation of Complex Movement Sequences based on Hierarchical Spatio-temporal Correspondence for Imitation Learning in Robotics. In: Bülthoff HH, Gegenfurtner KR, Mallot HA, Ulrich R, Wichmann FA (eds): Beiträge zur 6. Tübinger Wahrnehmungskonferenz; Knirsch, Kirchentellinsfurt. [PDF]
  • Giese MA, Thornton IM, Edelman S (2003) Metric category spaces of biological motion. Journal of Vision 3, 83a.
  • Jastorff J, Kourtzi Z, Giese MA (2003) Learning of natural and synthetic biological motion. In: N. Elsner and H. Zimmermann (eds): Proceedings of the 5th Meeting of the German Neuroscience Society; Thieme, Stuttgart, 627.
  • Jastorff J, Kourtzi Z, Giese MA (2003) Role of learning in biological motion recognition. Journal of Vision; 3, 84a.
  • Jastorff J, Kourtzi Z, Giese MA (2003) Learning of artificial biological motion: Comparison between natural and synthetic trajectories. In: Bülthoff HH, Gegenfurtner KR, Mallot HA, Ulrich R, Wichmann FA (eds): Beiträge zur 6. Tübinger Wahrnehmungskonferenz; Knirsch, Kirchentellinsfurt, 152.
  • Knappmeyer B K, Giese M A, Ilg W, Bülthoff H H (2003) Spatio-temporal caricatures of facial motion. In: Bültho H H, Gegenfurtner K R, Mallot H A,
    Ulrich R, Wichmannn F A (eds): Beiträge zur 6. Tübinger Wahrnehmungskonferenz; Knirsch, Kirchentellinsfurt, 153.
  • Leopold D A, Bodar I V, Giese M A, Logothetis N K (2003) Prototype-referenced encoding of faces in the monkey inferotemporal cortex. Society of Neuroscience, Poster no. 590.7.
  • Thornton I M, Giese M A, Edelman S (2003): Representing biological motion. Perception, 32 suppl.,
    2002
  • Casile A, Giese MA (2002) Critical Features for biological Motion. 2nd Workshop on Biologically Motivated Computer Vision, Tübingen, Germany.
  • Giese M A (2002): Biologische Bewegung definiert durch Bewegung 2. Ordnung. In: Baumann M, Keinath A, Krems J F (eds.):  Abstracts zur 44. tagung Experimentell Arbeitender Psychologen. TU Chenitz, March, 2002, 23. 
  • Giese MA, Jastorff J, Kourtzi Z (2002): Learning of the discrimination of artificial complex biological motion. Perception; 31 Suppl. 117.
  • Giese MA, Jastorff J, Kourtzi Z (2002): Learning of artificial biological motion patterns. 32nd Annual Meeting of the Society for Neuroscience, Orlando, United States.
  • Giese M A, Vaina L M (2002): Neuronal plausibles Modell für die Erkennung biologischer Bewegug. In: Bülthoff H H, Gegenfurtner K R, Mallot H P, Ulrich R:  Beiträge zur 5. Tübinger Wahrnehmungskonferenz. 110. 
  • Ilg U, Churan J, Giese M A (2002): Biologische Bewegung definiert durch Bewegung 2. Ordnung. In: Bülthoff H H, Gegenfurtner K R, Mallot H P, Ulrich R:  Beiträge zur 5. Tübinger Wahrnehmungskonferenz. 121. 
  • Ilg W, Giese MA, Golla H, Thier H P: Quantitative Movement Analysis based on Hierarchical Spatial Temporal Correspondence of Movement Primitives. 11th Annual Meeting of the European Society for Movement Analysis in Adults and Children. Leuven, September, 2002. 
  • Jastorff J, Giese MA (2002): Neural model for the learning of biological motion. Perception; 31 Suppl.119.
  • Jastorff J, Kourtzi Z, Giese MA (2002): Role of learning in biological motion recognition. 2nd Workshop on Biologically Motivated Computer Vision, Tübingen, Germany.
  • Jastorff J, Kourtzi Z, Giese M A (2002) Recognition of artificial complex biological motion generated by motion morphing. 5. Inderdisciplinary College 2002, Günne, Germany, March 2002.  POSTER AWARD.
  • Vaina L M , Giese M A (2002): Biological motion: why some motion-impaired stroke patients "can" while others "can't" recognize it ? A computational explanation.  Journal of Vision, 2, 332a.
     
    2001
  • Giese M A (2001): Hierarchical neural model for the recognition of biological motion. Journal of Vision, 1(3).
  • Giese M A, Vaina L M (2001): Pathways in the analysis of biological motion: computational model and fMRI results. Perception, 23 Suppl., 116.
 
    2000
  • Giese M A (2000): Learning-based neural model for the recognition of biological motion patterns. Investigative Ophtalmology and Visual Sciences, 41.
  • Lappe M, Giese M A (2000): Categorization of biological movement patterns. Investigative Ophtalmology and Visual Sciences, 41.
  • Giese, M A (2000): Learning-based neural model for the recognition of biological motion. Conference of the Federation of European Neuroscience Research. (in press). 
  • Yu A J, Giese M A, Poggio T (2000): Neural mechanisms for the realization of maximum operations. Conference of the Federation of European Neuroscience Research, Brighton, June, 2000.
  • Yu, A J, Giese, M A, Poggio, T (2000). Neural circuits for the realization of maximum operation. Society of Neuroscience Abstracts, 26:1202.
    1999
  • Giese M A, Poggio T(1999): Recognition and synthesis of biological motion patterns by linear combination of prototypical motion patterns. In Elsner N, Eysel U (eds): Göttingen Neurobiology Report 1999. Thieme Verlag, Stuttgart, 501.
    1998
  • Giese M A, Cubaleska B, Akhavan A C, Jancke D, Dinse H R Schöner G (1998): Separation of feed-forward and recurrent parts of cortical dynamics in cat area 17. In Elsner N, Wehner R (eds): Göttingen Neurobiology Report 1998. Thieme Verlag, Stuttgart, 469
    1997 and before
  • Cubaleska B, Giese M A, Schöner G (1997): Separation of feed-forward and recurrent parts of neural representations based on population techniques. In Elsner N, Wässle H (eds): Göttingen Neurobiology Report 1997. Thieme Verlag, Stuttgart, 1017
  • Giese M A, Schöner G, Hock H S (1997): Neural field dynamics for the perceptual organization of motion. Investigative Ophtalmology and Visual Sciences, 38, S936 
  • Giese M A, Schöner G, Hock H S (1997): A neural field dynamics for motion perception. In Elsner N, Wässle H (eds): Göttingen Neurobiology Report 1997. Thieme Verlag, Stuttgart, 1001
  • Giese M A, Cubaleska B, Pagel M, Akhavan A C, Jancke D, Dinse H R Schöner G (1997): Identification of the neural dynamics of position representation in cat area 17. Society of Neuroscience Abstracts, 23, 2364
  • Gorinevski D M, Giese M A (1997): Sparse coding determines the dynamics of orientation map formation in cortical area V1. In Dinse H, Tsukada M (eds): Second International Bochum-Tamagawa Brain Forum 1997. Internal Report, Institut für Neuroinformatik, Bochum, 26 
  • Giese M A, Schöner G, Hock H S (1996): A dynamic neural field model for the perceptual organization of apparent motion. Investigative Ophtalmology and Visual Sciences, 37, S745 
  • Giese M A, Schöner G, Hock H S (1996): A neural field model for the perceptual organization of apparent motion. In Elsner N, Schnitzler H U (eds): Göttingen Neurobiology Report 1996. Thieme Verlag, Stuttgart, 431 
  • Akhavan A C, Jancke D, Erlhagen W, Giese M A, Steinhage A, Schöner G, Dinse H R (1996): Population coding in visual cortex reveals nonlinear suppressive interactions as predicted by a neural field model. In Elsner N, Schnitzler H U: Göttingen Neurobiology Report 1996. Thieme Verlag, Stuttgart, 400
  • Dijkstra T M H, Schöner G, Gielen C C A M, Giese M A (1996): Dynamic influence of a moving visual stimulus on posture. Society of Neuroscience Abstracts, 22,1700
  • Giese M A, Dijkstra T M H, Schöner G, Gielen C C A M (1996): Identification of the state space dynamics of visually induced posural sway provides evidence for active sway generation. Society of Neuroscience Abstracts, 22, 1700 
  • Dinse H R, Jancke D, Akhavan A C, Kalt T, Giese M A, Schöner G (1996): Dynamic population representations of visual and somatosensory cortex. In Amari S, Xu L, Chan L, King I, Leung K (eds): Proceedings of the International Conference on Neural Information Processing 96. Springer, New York, 1285-1290 
  • Dijkstra T M H, Schöner G, Giese M A, Gielen C C A M (1995): Dynamical modeling of the influence of vision on postural control. Symposium on the Head/Neck System, Vail CO
  • Akhavan A C, Jancke D, Giese M A, Erlhagen W, Steinhage A, Schöner G, Dinse H R (1995): Population representations in cat visual cortex: Position-dependence of Orientation Selectivity. In Elsner N, Menzel R (eds): Learning and Memory. Proceedings of the 23rd Göttingen Neurobiology Conference. Thieme Verlag, Stuttgart, 464 
  • Giese M A, Akhavan A C, Erlhagen W, Jancke D, Steinhage A, Dinse H R, Schöner G (1995): Optimal population codes for a functional analysis of visual cortex dynamics. Society of Neuroscience Abstracts, 21, 1651
  • Giese M A, Dijkstra T M H, Schöner G (1995) Dynamik des an visuelle Information gekoppelten Bewegungsverhaltens. In: 37. Tagung experimentell arbeitender Psychologen, Münster. 
  • Giese M A, Erlhagen W, Akhavan A C, Jancke D, Steinhage A, Dinse H R, Schöner G (1995) Receptive-field based population codes and their limitations in presence of cooperativity. In Elsner N, Menzel R (eds): Learning and Memory. Proceedings of the 23rd Göttingen Neurobiology Conference. Thieme Verlag, Stuttgart: 465. 
  • Dijkstra T M H, Schöner G, Argante E, Giese M, Gielen C C A M (1992) Temporal stability of the action-perception cycle during postural control in a moving visual environment. In Richter D, Elsner N (eds): Rhythmogenesis in neurons and networks. Thieme Verlag, Stuttgart: 160. 
Book Publications
Rasmussen C E, Bülthoff H H, Giese M A, Schölkopf B (2004) (eds) Pattern Recognition. 26th DAGM Syposium, Tübingen, Germany, August 30 - September 1, 2004, Proceedings. Lecture Notes in Computer Science 2781, Springer, Berlin, Germany.

Giese M A (1999), Dynamic Neural Field Theory of Motion Perception. Kluwer Academic Publishers, Dordrecht, Netherlands


Patent
Giese M A (1998):   Effiziente Methode zur Implementierung dynamischer neuronaler Felder.  Patent 198 44 364.1,  Deutsches Patentamt, München. 

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