Chatziastros, A.; Wallis, G.; Bülthoff, H.: The use of optical flow and splay angle in steering a central path (Technical Report of the Max Planck Institute for Biological Cybernetics, 72). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (1999), 10 S.

Langer, M.: A model of how interreflections can affect color appearance (Technical Report of the Max Planck Institute for Biological Cybernetics, 70). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (1999), 6 S.

Langer, M.; Bülthoff, H.: Perception of shape from shading on a cloudy day (Technical Report of the Max Planck Institute for Biological Cybernetics, 73). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (1999), 14 S.

Rinner, O.; Gegenfurtner, K.: Time course of chromatic adaptation for color appearance and discrimination (Technical Report of the Max Planck Institute for Biological Cybernetics, 69). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (1999), 17 S.

Smola, A.; Mangasarian, O.; Schölkopf, B.: Sparse Kernel Feature Analysis. University of Wisconsin, Data Mining Institute, Madison, WI, USA (1999), 21 S.

Christou, C.; Tjan, B.; Bülthoff, H.: Viewpoint information provided by a familiar environment facilitates object identification (Technical Report of the Max Planck Institute for Biological Cybernetics, 68). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (1999), 15 S.

Schölkopf, B.; Shawe-Taylor, J.; Smola, A.; Williamson, R.: Generalization Bounds via Eigenvalues of the Gram matrix. University of London: Royal Holloway College: NeuroCOLT 2, London, UK (1999), 15 S.

Franz, V.; Gegenfurtner, K.; Bülthoff, H.; Fahle, M.: Grasping visual illusions: No evidence for a dissociation between perception and action (Technical Report of the Max Planck Institute for Biological Cybernetics, 67). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (1999)

Mallot, H.: Spatial Cognition: Behavioral Competences, Neural Mechanisms and Evolutionary Scaling (Technical Report of the Max Planck Institute for Biological Cybernetics, 66). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (1998), 10 S.

Franz, M.; Mallot, H.: Biomimetic robot navigation (Technical Report of the Max Planck Institute for Biological Cybernetics, 65). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (1998)

Mallot, H.; Gillner, S.: View-based vs. place-based navigation: What is recognized in recognition-triggered responses? (Technical Report of the Max Planck Institute for Biological Cybernetics, 64). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (1998), 12 S.

Steck, S.; Mallot, H.: The Role of Global and Local Landmarks in Virtual Environment Navigation (Technical Report of the Max Planck Institute for Biological Cybernetics, 63). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (1998), 16 S.

Smola, A.; Mika, S.; Schölkopf, B.: Quantization Functionals and Regularized Principal Manifolds. University of London, Royal Holloway College, NeuroCOLT 2, London, UK (1998), 9 S.

Smola, A.; Williamson, R.; Schölkopf, B.: Generalization bounds and learning rates for Regularized principal manifolds. University of London, Royal Holloway College, NeuroCOLT 2, London, UK (1998), 9 S.

Smola, A.; Williamson, R.; Schölkopf, B.: Generalization Bounds for Convex Combinations of Kernel Functions. University of London, Royal Holloway College, NeuroCOLT 2, London, UK (1998), 11 S.

Williamson, R.; Smola, A.; Schölkopf, B.: Generalization Performance of Regularization Networks and Support Vector Machines via Entropy Numbers of Compact Operators. University of London, Royal Holloway College, NeuroCOLT 2, London, UK (1998), 39 S.

Christou, C.; Bülthoff, H.: Differences between Active-Explorers and Passive-Observers in Virtual Scene Recognition (Technical Report of the Max Planck Institute for Biological Cybernetics, 62). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (1998), 13 S.

Franz, M.; Krapp, H.: Wide-Field, Motion-Sensitive Neurons and Optimal Matched Filters for Optic Flow (Technical Report of the Max Planck Institute for Biological Cybernetics, 61). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (1998), 18 S.

Huber, S.; Mallot, H.; Bülthoff, H.: Modeling biological sensorimotor control with genetic algorithms (Technical Report of the Max Planck Institute for Biological Cybernetics, 60). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (1998), 19 S.

Li, Z.: Pre-attentive segmentation in the primary visual cortex. Massachusetts Institute of Technology (MIT), Cambridge, MA, USA (1998), 25 S.