Giese, M. A. (2000). Learning-based neural model for the recognition of biological motion patterns. Investigative Ophtalmology and Visual Sciences, 41.
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Giese, M. A. (1999). Evidence for Multi-functional Interactions in Early Visual Motion Processing,. Trends in Neurosciences, 22, 287-290.
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Poggio, T. A. & Giese, M. A. (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.
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Dinse, H. R., Jancke, D., Akhavan, A. C., Kalt, T., Schöner, G. & Giese, M. A. (1999). Dynamic population representations of the visual and somatosensory cortex. Proceedings of the International Conference on Neural Information Processing 96. Springer, NY, 1285-1290.
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Poggio, T. A. & Giese, M. A. (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.
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Massberg, W., Weigt, D., Steinhage, A., Schöner, G. & Giese, M. A. (1998). Selbstorganisierende Fertigungssteuerung: Selbstorganisierendes Modell der Fertigungssteuerung auf der Basis neuronaler Dynamik. WT Werkstatt Technik, 7/8-98, 329-332.
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Giese, M. A. (1998). Dynamic neural field model links neural and computational theories of motion perception. Workshop Dynamische Perzeption. Infix Verlag, St. Augustin, Germany.
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Cubaleska, B., Akhavan, A. C., Jancke, D., Dinse, H. R., Schöner, G. & Giese, M. A. (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.
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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 f\"ur Neuroinformatik, Bochum, 26.
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Schöner, G., Hock, H. S. & Giese, M. A. (1997). A neural field dynamics for motion perception. In Elsner N, Wässle H (eds): Göttingen Neurobiology Report 1997. Thieme Verlag, Stuttgart, 1001.
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Cubaleska, B., Schöner, G. & Giese, M. A. (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.
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Schöner, G., Hock, H. S. & Giese, M. A. (1997). Neural field dynamics for the perceptual organization of motion. Investigative Ophtalmology and Visual Sciences, 38, p.936.
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Jancke, D., Akhavan, A. C., Erlhagen, W., Steinhage, A., Schöner, G., Dinse, H. R. et al. (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, Vorbr\"uggen J C, Sendhoff B: Artificial Neural networks - ICANN 96., 641-648.
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Neven, H., Steinhage, A., Bruckhoff, C. & Giese, M. A. (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.
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Giese, M. A., Dijkstra, T., Schöner, G. & Gielen, S. (1996). Identification of the nonlinear state-space dynamics of the action perception cycle for visually induced postural sway. Biological Cybernetics, 74(5), 427-437.
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Schöner, G., Hock, H. S. & Giese, M. A. (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..
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Schöner, G., Hock, H. S. & Giese, M. A. (1996). Neural field dynamics for motion perception. In von der Malsburg C, von Seelen W, Vorbruggen J C, Sendhoff B: Artificial Neural networks - ICANN 96., 335-340.
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[Bibtex]
Dinse, H. R., Jancke, D., Akhavan, A. C., Kalt, T., Schöner, G. & Giese, M. A. (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.
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Dijkstra, T., Schöner, G., Gielen, S. & Giese, M. A. (1996). Identification of the state space dynamics of visually induced posural sway provides evidence for active sway generation. Society of Neuroscience Abstracts, 22, 1700.
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Dijkstra, T., Schöner, G., Gielen, S. & Giese, M. A. (1996). Dynamic influence of a moving visual stimulus on posture. Society of Neuroscience Abstracts, 22,1700.
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Akhavan, A. C., Jancke, D., Erlhagen, W., Steinhage, A., Schöner, G., Dinse, H. R. et al. (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.
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Schöner, G., Hock, H. S. & Giese, M. A. (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.
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[Bibtex]
Schöner, G., Hock, H. S. & Giese, M. A. (1996). A dynamic neural field model for the perceptual organization of apparent motion. Investigative Ophtalmology and Visual Sciences, 37, p.745.
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Dijkstra, T., Schöner, G. & Giese, M. A. (1995). Dynamik des an visuelle Information gekoppelten Bewegungsverhaltens. In: 37. Tagung experimentell arbeitender Psychologen, M\"unster..
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Erlhagen, W., Akhavan, A. C., Jancke, D., Steinhage, A., Dinse, H. R., Schöner, G. et al. (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..
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Akhavan, A. C., Jancke, D., Erlhagen, W., Steinhage, A., Schöner, G., Dinse, H. R. et al. (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.
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Dijkstra, T., Schöner, G., Gielen, S. & Giese, M. A. (1995). Dynamical modeling of the influence of vision on postural control. Symposium on the Head/Neck System, Vail CO.
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Dijkstra, T., Schöner, G., Gielen, S. & Giese, M. A. (1994). Frequency dependence of the action-perception cycle for postural control in a moving visual environment: relative phase dynamics. Frequency dependence of the action-perception cycle for postural control in a moving visual environment: relative phase dynamics. Biol Cybern, 71, 489-501.
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Dijkstra, T., Schöner, G., Argante, E., Gielen, S. & Giese, M. A. (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.
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Ardestani, M. H., Saini, N., Martinez, A. & Giese, M. A. Neural model for the visual recognition of animacy and social interaction. 27th International Conference on Artificial Neural Networks, Rhodes, Greece, Proceedings, Part III, Page 168 – 177.
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