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Riecke, B.; Schulte-Pelkum, J.; Caniard, F.; Bülthoff, H.: Spatialized auditory cues enhance the visually-induced self-motion illusion (circular vection) in Virtual Reality (Technical Report of the Max Planck Institute for Biological Cybernetics, 138). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2005), 12 pp.

Franz, G.; Weyel, M.: veLib Reference Manual: Library Version 1.2.0 (Technical Report of the Max Planck Institute for Biological Cybernetics, 142). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2005), 456 pp.

Huang, J.: A Combinatorial View of Graph Laplacians (Technical Report of the Max Planck Institute for Biological Cybernetics, 144). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2005), 9 pp.

Zhou, D.; Huang, J.; Schölkopf, B.: Beyond Pairwise Classification and Clustering Using Hypergraphs (Technical Report of the Max Planck Institute for Biological Cybernetics, 143). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2005), 13 pp.

Dhillon, I.; Sra, S.: Generalized Nonnegative Matrix Approximations using Bregman Divergences. Department of Computer Sciences: University of Texas, Austin, TX, USA (2005), 14 pp.

Fukumizu, K.; Bach, F.; Gretton, A.: Consistency of Kernel Canonical Correlation Analysis. Institute of Statistical Mathematics, Tokyo, Japan (2005), 22 pp.

Gretton, A.; Bousquet, O.; Smola, A.; Schölkopf, B.: Measuring Statistical Dependence with Hilbert-Schmidt Norms (Technical Report of the Max Planck Institute for Biological Cybernetics, 140). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2005), 16 pp.

Chandramouli, C.; Thornton, I.; Bülthoff, H.: Selective Attention and Biological Motion (Technical Report of the Max Planck Institute for Biological Cybernetics, 139). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2005), 13 pp.

Kuss, M.; Pfingsten, T.; Csato, L.; Rasmussen, C.: Approximate Inference for Robust Gaussian Process Regression (Technical Report of the Max Planck Institute for Biological Cybernetics, 136). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2005), 27 pp.

Bakır, G.; Wu, M.; Eichhorn, J.: Maximum-Margin Feature Combination for Detection and Categorization. Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2005), 8 pp.

Bos, J.; Groen, E.; Nooij, S.: Further thoughts on and calculations by spatial orientation an motion sickness modeling. Toegepast Natuurwetenschappelijk Onderzoek (TNO) Human Factors, Soesterberg, The Netherlands (2005)

Kuss, M.; Jäkel, F.; Wichmann, F.: Approximate Bayesian Inference for Psychometric Functions using MCMC Sampling (Technical Report of the Max Planck Institute for Biological Cybernetics, 135). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2005), 30 pp.

Nooij, S.; Bos, J.; Groen, E.: Persoonsidentificatie d.m.v. oogbewegingen: een haalbaarheidsstudie. Toegepast Natuurwetenschappelijk Onderzoek (TNO) Human Factors, Soesterberg, The Netherlands (2005)

Das war 2030.

Lal, T.: Machine Learning Methods for Brain-Computer Interdaces, (2005)

Avdievich, N.; Peshkovsky, A.; Kennan, R.: Open half volume quadrature transverse electromagnetic coil for high field magnetic resonance imaging. US6980003B2 (2005)

Bieri, O.; Scheffler, K.: Generic eddy-current compensation in magnetic resonance imaging. US20050258829A1 (2005)

Scheffler, K.: Magnetic field sensor-based navigation system to track MR image-guided interventional procedures. US20050245811A1 (2005)

Scheffler, K.; Seifritz, E.: Low-impact noise acquisition magnetic resonance imaging. US20050242810A1 (2005)