CURRICULUM VITAE Terrence J. Sejnowski - Psychology

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9. Sejnowski, T. J. Models of vision: Review of "Computational Models of VisualProcessing" by M. S. Landy and J. A. Movshon (Eds.), Science 257, 687-688 (1992).10. Sejnowski, T. J., Network Visions: Review of "Neural Networks for Visual Perception"by H. Wechsler (Ed)., Nature 360, 27-28 (1992).11. Pouget, A. and Sejnowski, T. J., A distributed common reference frame for egocentricspace in the posterior parietal cortex, Controversies in Neuroscience I: MovementSystems, The Behavioral and Brain Sciences 15, 787-788 (1992).12. Sejnowski, T. J. and Lisberger, S., Neural systems for eye tracking, Naval ResearchReviews 43(4), 17-28 (1992).13. Sejnowski, T. J. and Churchland, P. S., Silicon Brains, Byte 17, 137-146 October(1992).14. Lisberger, S. G., Sejnowski, T. J., Cerebellar flocculus hypothesis-reply, Nature 363, 25(1993).15. Pouget, A. and Sejnowski, T. J., Is perception isomorphic with neural activity?,Behavioral and Brain Sciences 17, 274 (1994).16. Quartz, S. R. and Sejnowski, T. J., Beyond modularity - Neural evidence forconstructivist principles in development, Behavioral and Brain Sciences 17, 725-726(1995).17. du Lac, S., Raymond, J. L., Sejnowski, T. J., and Lisberger, S. G., Learning andmemory in the vestibulo-ocular reflex, Annual Reviews of Neuroscience 18, 409-441(1995).18. Sejnowski, T. J., Time for a new neural code?, Nature 376, 21-22 (1995).19. Sejnowski, T. J., Sleep and memory, Current Biology 5, 832-834 (1995).20. Sejnowski, T. J., Evolution of artificial intelligence: Review of "Artificial Minds" by S.Franklin, Nature 378, 101-102 (1995).21. Sejnowski, T. J., Synapses get smarter, Nature 382, 759-760 (1996).22. Sejnowski, T. J., The year of the dendrite, Science 275, 178-179 (1997).23. Spitzer, N., and Sejnowski, T. J., Biological information processing: Bits of progress,Science 277, 1060-1061. (1997).24. Sejnowski, T. J., Making smooth moves, Nature 394, 725-726 (1998).25. Sejnowski, T., J., Computational Neuroscience, The MIT Encyclopedia of the CognitiveSciences, Robert A. Wilson and Frank Keil (Eds.), MIT Press, 165-168, (1999).26. Sejnowski, T. J., A high point for evolution, Science 283, 1121 (1999).27. Sejnowski, T. J., Computational neuroscience, Elsevier's Encyclopedia of Neuroscience,Amsterdam: Elsevier, 450-453 (1999).
28. Sejnowski, T. J., Neural networks beyond Freud, Nature 400, 632-633 (1999)29. Sejnowski, T. J., The Book of Hebb, Neuron 24, 1-20, (1999).30. Eagleman, D. M., and Sejnowski, T. J., Response: the position of moving objects,Science, 289, (5482) 1107a (2000).31. Eagleman, D. M., and Sejnowski, T. J., Latency difference versus postdiction: Responseto Patel et al. Science 290(5494) 1051a (2000).32. Salinas, E., and Sejnowski, T. J., Gain modulation in the central nervous system:Where behavior, neurophysiology and computation meet, The Neuroscientist 7(5) 430-440 (2001).33. Sejnowski, T. J., Computational Neuroscience, Encyclopedia of the Social andBehavioral Sciences (in press).34. Flash, T., and Sejnowski, T. J., Computational approaches to motor control, CurrentOpinion in Neurobiology (in press).Refereed Conference Proceedings:1. Hinton, G. E. and Sejnowski, T. J., Analyzing cooperative computation. Proceeding 5thAnnual Conference of the Cognitive Science Society, Rochester, (May 1983).2. Hinton, G. E. and Sejnowski, T. J., Optimal perceptual inference. Proceedings IEEEConference on Computer Vision and Pattern Recognition, Washington, D. C., (June1983).3. Fahlman, S. E., Hinton, G. E. and Sejnowski, T. J., Massively parallel architectures forAI: NETL, Thistle and Boltzmann Machines. Proceedings of the National Conference onArtificial Intelligence, Washington, D. C., (August 1983).4. Hinton, G. E. and Sejnowski, T. J., Learning semantic features. Proceedings 6thAnnual Conference of the Cognitive Science Society, Boulder, (June 1984).5. Hinton, G. E. and Sejnowski, T. J., Learning in Boltzmann machines. Cognitiva 85,Paris, France, (June 1985).6. Rosenberg, C. R. and Sejnowski, T. J., The effects of distributed vs massed practice onNETtalk, a massively-parallel network that learns to read aloud, Proceedings 8thAnnual Conference of the Cognitive Science Society, Amherst, MA., (August 1986).7. Tesauro, G. and Sejnowski, T. J., A 'neural' network that learns to play backgammon.In: D. Z. Anderson (Ed). Neural Information Processing Systems, New York: AmericanInstitute of Physics, (1988).8. Qian, N. and Sejnowski, T. J., Learning to solve random-dot stereograms of dense andtransparent surfaces with recurrent backpropagation. In: D. Touretzky, G. E. Hintonand T. J. Sejnowski (Eds.) Proceedings of the 1988 Connectionist Models SummerSchool, San Mateo, CA: Morgan Kaufmann Publishers, (1989).
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