53. Ritz, R., and <strong>Sejnowski</strong>, T. J., Correlation coding in a stochastic network model ofauditory binding, Proceedings of the 3rd Joint Symposium on Neural Computation,University of California, San Diego and California Institute of Technology, Institute forNeural Computation, La Jolla, CA, 161-171 (1996).54. Coenen, O, and <strong>Sejnowski</strong>, T. J., Learning to make predictions in the cerebellum mayexplain the anticipatory modulation of the vestibulo-ocular reflex (VOR) gain withvergence, Proceedings of the 3rd Joint Symposium on Neural Computation, Universityof California, San Diego and California Institute of Technology, Institute for NeuralComputation, La Jolla, CA, 202-221 (1996).55. Gray, M. S., Movellan, J. R., and <strong>Sejnowski</strong>, T. J., Dynamic features for visualspeechreading: A systematic comparison, Proceedings of the 3rd Joint Symposium onNeural Computation, University of California, San Diego and California Institute ofTechnology, Institute for Neural Computation, La Jolla, CA, 222-230 (1996).56. Ginzburg, I., and <strong>Sejnowski</strong>, T. J., Dynamics of rule induction by making queries:Transition between strategies, Proceedings of the Eighteenth Annual Conference of theCognitive Science Society, Lawrence Erlbaum Associates: Mahwah, N. J., 18, 121-125,(1996).57. K., Kloppstech, M., Nowlan, S. J., Harms, H. M., G. Brabant, R. D. Hesch, and T.<strong>Sejnowski</strong>, Nonlinear analysis and prediction of pulsatile hormone secretion, In:Chaotic, Fractal, and Nonlinear Signal Processing, R. A. Katz (Ed) American Institute ofPhysics, Woodbury, New York, 375, 628-643 (1996).58. Prank, K, Kloppstech, M., Nowlan, S. J., <strong>Sejnowski</strong>, T. J., and Brabant, G., Selforganizedsegmentation of hormone pulsatility: Separating growth hormone in healthand disease, In: Amari, S-I., Xu, L. Chan, L-W., Leung, K-S. (Eds.) Proceedings of theInternational Conference on Neural Information Processing, Springer Verlag, 2, 1121-1126 (1996).59. Prank, K, Kloppstech, M., Nowlan, S. J., <strong>Sejnowski</strong>, T. J., and Brabant, G., Selforganizedsegmentation of hormone pulsatility: Separating growth hormone in healthand disease, World Congress on Neural Networks, San Diego, CA, 1184-1194 (1996).60. Stensmo, M., and <strong>Sejnowski</strong>, T. J., Automated medical diagnosis based on decisiontheory and learning from cases, World Congress on Neural Networks, San Diego, CA,1227-1231 (1996).61. Bell, A. J., and <strong>Sejnowski</strong>, T. J., Edges are the "independent components" of naturalscenes, In: Mozer, M., Jordan, M., and Petsche, T., (Eds.) Advances in NeuralInformation Processing Systems 9, MIT Press, Cambridge, MA, 831-837(1997).62. Stensmo, S., and <strong>Sejnowski</strong>, T. J., Learning decision theoretic utilities throughreinforcement learning, In: Mozer, M., Jordan, M., and Petsche, T., (Eds.) Advances inNeural Information Processing Systems 9, MIT Press, Cambridge, MA., 1061-1067(1997).63. Gray, M. S., Pouget, A., Zemel, R. S., S. J. Nowlan, and T. J. <strong>Sejnowski</strong>, Selectiveintegration: A model for disparity estimation, In: Mozer, M., Jordan, M., and Petsche,T., (Eds.) Advances in Neural Information Processing Systems 9, MIT Press,Cambridge, MA., 866-872 (1997).
64. Gray, M. S., Movellan, J. R., and <strong>Sejnowski</strong>, T. J., Dynamic features for visualspeechreading: A systematic comparison, In: Mozer, M., Jordan, M., and Petsche, T.,(Eds.) Advances in Neural Information Processing Systems 9, MIT Press, Cambridge,MA., 751-757 (1997).65. Tang, A. C., Bartels, A. M., and <strong>Sejnowski</strong>, T. J., Cholinergic modulation preservesspike timing under physiologically realistic fluctuating input, In: Mozer, M., Jordan, M.,and Petsche, T., (Eds.) Advances in Neural Information Processing Systems 9, MITPress, Cambridge, MA., 111-117 (1997).66. Lewicki, M., and <strong>Sejnowski</strong>, T. J., Bayesian unsupervised learning of higher orderstructure, In: Mozer, M., Jordan, M., and Petsche, T., (Eds.) Advances in NeuralInformation Processing Systems 9, MIT Press, Cambridge, MA., 529-535 (1997).67. Stewart-Bartlett, M., and <strong>Sejnowski</strong>, T. J., Viewpoint invariant face recognition usingindependent component analysis and attractor networks, In: Mozer, M., Jordan, M.,and Petshce, T., (Eds.) Advances in Neural Information Processing Systems 9, MITPress, Cambridge, MA., 817-823 (1997).68. Stewart-Bartlett, M., and <strong>Sejnowski</strong>, T., J., Independent components of face images: Arepresentation for face recognition, Proceedings of the 4th Joint Symposium on NeuralComputation, University of California, San Diego and University of Southern California6, Institute for Neural Computation, La Jolla, CA, 3-10 (1997).69. Bazhenov, M., Timofeev, I., Steriade, M., and <strong>Sejnowski</strong>, T., Cellular mechanismsunderlying thalamic augmenting responses during 10 Hz stimulation, Proceedings ofthe 4th Joint Symposium on Neural Computation, University of California, San Diegoand University of Southern California 6, Institute for Neural Computation, La Jolla, CA,11-18 (1997).70. Brown, G.. D., and <strong>Sejnowski</strong>, T. J., Output sign switching in molluscan neurons ismediated by a novel voltage-dependent sodium current, Proceedings of the 4th JointSymposium on Neural Computation, University of California, San Diego and Universityof Southern California 6, Institute for Neural Computation, La Jolla, CA, 35-42 (1997).71. Eisele, M., and <strong>Sejnowski</strong>, T. J., Model-based reinforcement learning by pyramidalneurons: Robustness of the learning rule, Proceedings of the 4th Joint Symposium onNeural Computation, University of California, San Diego and University of SouthernCalifornia 6, Institute for Neural Computation, La Jolla, CA, 83-90. (1997).72. Gray, M. S., Movellan, J., R., and <strong>Sejnowski</strong>, T. J., A comparison of local versus globalimage decompositions for visual speechreading, Proceedings of the 4th JointSymposium on Neural Computation, University of California, San Diego and Universityof Southern California 6, Institute for Neural Computation, La Jolla, CA, 92-98 (1997).73. Lee, T.-W., and <strong>Sejnowski</strong>, T. J., Independent component analysis for mixed subgaussianand super-gaussian sources, Proceedings of the 4th Joint Symposium onNeural Computation, University of California, San Diego and University of SouthernCalifornia 6, Institute for Neural Computation, La Jolla, CA, 132-139 (1997).
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