Giese, M. A. & Poggio, T. A. (2002). Biologically Plausible Neural Model for the Recognition of Biological Motion and Actions. Phd Thesis.
[More]
Publications
Giese, M. A (2002). Learning recurrent neural models with minimal complexity from sparse neural data . NATO Workshop on Learning Theory and Practice, Leuven.
[More]
Giese, M. A. (2003). Learning recurrent neural models with minimal complexity. Neurocomputing, 52-54, 277-283.
[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]
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.
[More]
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, 453-458.
[More]
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.
[More]
Leopold, D. A., Giese, M. A., Logothetis, N. K. & Bondar, I. V. (2003). Prototype-referenced encoding of faces in the monkey inferotemporal cortex. Society of Neuroscience, Poster no. 590.7.
[More]
Jastorff, J., Kourtzi, Z. & Giese, M. A. (2003). Learning of artificial biological motion: Comparison between natural and synthetic trajectories. In: Bülthoff H. H., Gegenfurtner KR, Mallot HA, Ulrich R, Wichmann FA (eds): Beiträge zur 6. Tübinger Wahrnehmungskonferenz; Knirsch, Kirchentellinsfurt, 152.
[More]
Jastorff, J., Kourtzi, Z. & Giese, M. A. (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.
[More]
Ilg, W., Franz, M. O., Bakir, G. H. & Giese, M. A. (2003). Representation of Complex Movement Sequences based on Hierarchical Spatio-temporal Correspondence for Imitation Learning in Robotics. In: Bülthoff, H. H., Gegenfurtner KR, Mallot HA, Ulrich R, Wichmann FA (eds): Beiträge zur 6. Tübinger Wahrnehmungskonferenz, Knirsch, Kirchentellinsfurt.
[More]
Bakir, G. H., Ilg, W., Franz, M. O. & Giese, M. A. (2003). Constraints measures and reproduction of style in robot imitation learning. In: Bülthoff H. H., Gegenfurtner KR, Mallot HA, Ulrich R, Wichmann FA (eds): Beiträge zur 6. Tübinger Wahrnehmungskonferenz; Knirsch, Kirchentellinsfurt, 70.
[More]
Ilg, W., Mezger, J. & Giese, M. A. (2003). Estimation of skill level in sports based on hierarchical spatio-temporal correspondences. In: MichaeliIn Michaelis B, Krell G (eds): 25th DAGM Pattern Recognition Symposium. Magdeburg, Germany. Springer, 523-531.
[More]
Ilg, W., Mezger, J. & Giese, M. A. (2003). Estimation of skill level in sports based on hierarchical spatio-temporal correspondences.. Springer Verlag.
[More]
Giese, M. A., Edelman, S. & Thornton, I. (2003). Representing biological motion. Perception, 32.
[More]
Knappmeyer, B., Ilg, W. & Giese, M. A. (2003). Spatio-temporal caricatures of facial motion. In: Bülthoff H. H., Gegenfurtner K R, Mallot H A, Ulrich R, Wichmann FA (eds.): Beiträge zur 6. Tübinger Wahrnehmungskonferenz, Knirsch, Kirchentellinsfurt, 153.
[More]
Jastorff, J., Kourtzi, Z. & Giese, M. A. (2003). Role of learning in biological motion recognition. Journal of Vision, 3, 84a.
[More]
Thornton, I., Edelman, S. & Giese, M. A. (2003). Metric category spaces of biological motion. Journal of Vision 3, 83a.
[More]
Casile, A. & Giese, M. A. (2003). Motion and Form information in the recognition of point-light stimuli. In: Bülthoff H. H., Gegenfurtner KR, Mallot HA, Ulrich R, Wichmann F A (eds): Beiträge zur 6. Tübinger Wahrnehmungskonferenz, Knirsch, Kirchentellinsfurt, 91.
[More]
Casile, A. & Giese, M. A (2003). Roles of motion and form in biological motion recognition. In Kaynak, Okyay, Alpaydin, Ethem, Oja, Erkki et al (editors), Artificial Neural Networks and Neural Information Processing - ICANN/ICONIP 2003. Lecture Notes in Computer Science , 2714, 854-862.
[More]
Benali, A., Leefken, I., Eysel, U. T. & Weiler, E. (2003). A computerized image analysis system for quantitative analysis of cells in histological brain sections. Journal of neuroscience methods, 125(1-2), 33—43.
[More]
Benali, A., Leefken, I., Kastrup, D. & Weiler, E. (2003). Computational counting for a quantitative analysis of cells in histologically prepared brain sections. Neurocomputing, 52-54, 209-214.
[More]
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.
[More]
Jastorff, J. & Giese, M. A. (2004). Time-dependent hebbian rules for the learning of templates for visual motion recognition. In: Ilg U, Bülthoff HH, Mallot H (eds): Dynamic Perception, 151-156.
[More]
Giese, M. A. (2004). Neural model for biological movement recognition: A Neurophysiologically Plausible Theory. Optic Flow and Beyond. Kluwer Academic Publihers, Dordrecht, NL, 443-470.
[More]