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Report (9)

1241.
Report
Nielsen, K.; Logothetis, N.; Rainer, G.: Psychophysical comparison of synthesis algorithms for natural images (Technical Report of the Max Planck Institute for Biological Cybernetics, 119). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2003), 22 pp.
1242.
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Treiber, S.; Juchem, C.; Logothetis, N.; Pfeuffer, J.: Simulation von Basisspektren zur Frequenzdomänenanalyse von in vivo 1H NMR-Spektren mittels LCModel: Simulation of Basis Spectra for Frequency Domain Analysis of in vivo 1H NMR Spectra using LCModel (Technical Report of the Max Planck Institute for Biological Cybernetics, 117). Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2003), 43 pp.
1243.
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Leopold, D.; Fitzgibbons, J.; Logothetis, N.: The Role of Attention in Binocular Rivalry as Revealed through Optokinetic Nystagmus. MIT Artificial Intelligence Laboratory, MIT School of Science: Center for Biological & Computational Learning, Cambridge, MA, USA (1995), 17 pp.
1244.
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Logothetis, N.; Leopold, D.: On the Physiology of Bistable Percepts (C.B.C.L. Paper, AI Memo, No: 1553, 125). MIT Artificial Intelligence Laboratory, MIT School of Science: Center for Biological & Computational Learning, Cambridge, MA, USA (1995), 18 pp.
1245.
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Logothetis, N.; Pauls, J.; Poggio, T.: Spatial Reference Frames for Object Recognition: Tuning for Rotations in Depth. MIT Artificial Intelligence Laboratory, MIT School of Science: Center for Biological & Computational Learning, Cambridge, MA, USA (1995), 17 pp.
1246.
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Logothetis, N.; Pauls, J.; Poggio, T.: Viewer-Centered Object Recognition in Monkeys. Massachusetts Institute of Technology: Artificial Intelligence Laboratory and Center for Biological and Computational Learning Department of Brain and Cognitive Sciences, Cambridge, MA, USA (1994), 20 pp.
1247.
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Logothetis, N.; Vetter, T.; Hurlbert, A.; Poggio, T.: View-based Models of 3D Object Recognition and Class-specific Invariances. Massachusetts Institute of Technology: Artificial Intelligence Laboratory and Center for Biological and Computational Learning Department of Brain and Cognitive Sciences, Cambridge, MA, USA (1994), 12 pp.
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