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Computers and the Human Brain

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Beyond Information

Abstract

Human intelligence, for the most part, does not operate like a von Neumann type of logic machine. It does not, for the most part, engage in precise reasoning, manipulating abstract symbols. The great fallacy — perhaps based in a kind of technological arrogance — is that the human brain works like a logic machine, and that, therefore, the computers created by the collective genius of men like Atanasoff, Babbage, Bush, Turing, von Neumann, and Zuse — upon perfection — would act like human brains.

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Literature Cited

  • Anonymous (1990) Report: Cancer catcher, Sci. Am. 262 (5): 55.

    Google Scholar 

  • C Aoki and P Siekevitz (1988) Plasticity in brain development, Sci. Am. 259 (6): 34–42.

    Article  Google Scholar 

  • M Boden (1987) Artificial intelligence: cannibal or missionary? AI amp; Society 1 (1): 17–23.

    Article  Google Scholar 

  • A Diamond (ed) (1990) The Development of Neural Bases of Higher Cognitive Functions, Ann. New York Acad. Sci. 608.

    Google Scholar 

  • IM Donaldson (1988) Personal view: What good are neural nets? J. Inform. Technol. 3 (4): 272–276.

    Article  Google Scholar 

  • R Forsyth (1986) Machine learning, in Artificial Intelligence ( M Yazdani ed), pp. 205–225, Chapman and Hall, London.

    Google Scholar 

  • WD Hillis (1985) The Connection Machine, The MIT Press, Cambridge, Mass.

    Google Scholar 

  • T Kohonen (1988) An introduction to neural computing, Neural Networks 1: 3–16.

    Article  Google Scholar 

  • GA Miller and PM Gildea (1987) How children learn words, Sci. Am. 257 (3): 86–91.

    Article  Google Scholar 

  • M Minsky and S Papert (1969 and 1988 ) Perceptrons, The MIT Press, Cambridge, Mass.

    MATH  Google Scholar 

  • RA Nicoli, RC Malenka and JA Kauer (1989) The role of calcium in long-term potentiation, in Calcium, Membranes, Aging and Alzheimer’s Disease (ZS Khachaturian, CW Cotman and JW Pettegrew ed), Ann. New York Acad. Sci. 568: 166–170.

    Google Scholar 

  • KK Obermeier and JJ Barron (1989) Time to get fired up, Byte August 1989, pp. 217–224.

    Google Scholar 

  • F Rosenblatt (1958) The perceptron: A probalistic model for information storage and organisation in the brain, Psychoanalytic Rev. 65: 386–408.

    MathSciNet  Google Scholar 

  • I Rosenfield (1988) The Invention of Memory, Basic Books, New York.

    Google Scholar 

  • T Stonier (1984) Computer psychology, Educational and Child Psychol. 1 (2): 16–27.

    Google Scholar 

  • T Toffoli and N Margolus (1987) Cellular Automata Machines, The MIT Press, Cambridge, Mass.

    Google Scholar 

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© 1992 Tom Stonier

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Stonier, T. (1992). Computers and the Human Brain. In: Beyond Information. Springer, London. https://doi.org/10.1007/978-1-4471-1835-0_7

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  • DOI: https://doi.org/10.1007/978-1-4471-1835-0_7

  • Publisher Name: Springer, London

  • Print ISBN: 978-3-540-19654-9

  • Online ISBN: 978-1-4471-1835-0

  • eBook Packages: Springer Book Archive

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