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Issue No.03 - Fall (1989 vol.11)
pp: 197-201
<p>Terrence Sejnowski assesses von Neumann's contribution of mathematical and computational tools for the development of computational neuroscience. He surveys the progress that has been made in this field since von Neumann's death and outlines the difficulties that remain.</p>
Terrence J. Sejnowski, "The Computer and the Brain Revisited", IEEE Annals of the History of Computing, vol.11, no. 3, pp. 197-201, Fall 1989, doi:10.1109/MAHC.1989.10028
1. Brown, T. H., A. H. Ganong, E. W. Kairiss, C. L. Keenan, and S. R. Kelso. 1989. "Long-term Potentiation in Two Synaptic Systems of the Hippocampal Brain Slice." In J. H. Bryne and W. O. Berry (eds.),Neural Models of Plasticity, New York, Academic Press, in press.
2. Churchland, P. S. 1986.Neurophilosophy: Toward a Unified Science of the Mind/Brain, Cambridge, Massachusetts, The MIT Press.
3. Crick, F. 1984. "Function of the Thalamic Reticular Complex: The Searchlight Hypothesis."Proceedings of the National Academy of Sciences USA81, pp. 4586-4590.
4. Hebb, D. O. 1949.Organization of Behavior, New York, John Wiley&Sons.
5. Parallel Models of Associative Memory, E. Hinton and J.A. Anderson, eds., Lawrence Erlbaum Associates, Hillsdale, N.J., 1989 (updated edition).
6. Hopfield, J. J., and D. W. Tank, 1986. "Computing with Neural Circuits: A Model."Science233, pp. 625-633.
7. Landauer, T. K. 1986. "How Much Do People Remember? Some Estimates of the Quantity of Learned Information in Long-Term Memory."Cognitive Science10, pp. 477-493.
8. McCulloch, W. S., and W. Pitts, 1943. "A Logical Calculus of the Ideas Immanent in Nervous Activity."Bulletin of Mathematical Biophysics5, pp. 115-133.
9. C. A. Mead,Analog VLSI and Neural Systems. Reading, MA: Addison-Wesley, 1989.
10. Newell, A. and H. A. Simon. 1976. "Computer Science as Empirical Inquiry."Communications of the ACM, 19, pp. 113-126.
11. D.E. Rumelhart and D. McClelland, eds.,Parallel Distributed Processing: Explorations in the Microstructure of Cognition, Vols. 1-2, MIT Press, Cambridge, Mass., 1986.
12. Sejnowski, T. J. 1976. "On Global Properties of Neuronal interaction."Biological Cybernetics22, pp. 85- 95.
13. Sejnowski, T. J., C. Koch, and P. S. Churchland. 1988. "Computational Neuroscience." Science 241, pp. 1299- 1306.
14. Sejnowski, T. J., and P. S. Churchland. 1989. "Brain and Cognition." In M. I. Posner (ed.),Foundations of Cognitive Science, Cambridge, Massachusetts, The MIT Press, in press.
15. Sejnowski, T. J., and G. Tesauro, 1989. "Building Network Learning Algorithms from Hebbian Synapses." In J. L. McGaugh, N. M. Weinberger, and G. Lynch (eds.),Brain Organization and Memory: Cells, Systems, and Circuits, New York, Oxford University Press, in press.
16. Squire, L. R. 1987.Memory and the Brain, New York, Oxford University Press.
17. Von der Malsburg, C. 1987. "Synaptic Plasticity as Basis of Brain Organization." In J.-P. Changeux and M. Konishi (eds.),The Neural and Molecular Bases of Learning, New York, John Wiley&Sons, pp. 411- 432.
18. Von Neumann, J. 1958.The Computer and the Brain, New Haven, Yale University Press.
19. Von Neumann, J. 1963. "The General and Logical Theory of Automata." In A. H. Taub (ed.),John von Neumann: Collected Works, New York, Pergamon Press, pp. 5, 288.
20. Waltz, D. H. 1988. "The Prospects for Building Truly Intelligent Machines."Daedalus1, pp. 191-212.
21. Wolfram, S. 1983. "Statistical Mechanics of Cellular Automata."Reviews of Modern Physics55, pp. 601- 604.
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