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  1. A theory of the epigenesis of neuronal networks by selective stabilization of synapses.Jean Pierre Changeux, Philippe Courrège & Antoine Danchin - 1973 - Proceedings of the National Academy of Sciences Usa 70 (10):2974-8.
    A formalism is introduced to represent the connective organization of an evolving neuronal network and the effects of environment on this organization by stabilization or degeneration of labile synapses associated with functioning. Learning, or the acquisition of an associative property, is related to a characteristic variability of the connective organization: the interaction of the environment with the genetic program is printed as a particular pattern of such organization through neuronal functioning. An application of the theory to the development of the (...)
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  • Orienting of attention.M. I. Posner - 1980 - Quarterly Journal of Experimental Psychology 32 (1):3-25.
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  • The cognitive unconscious.John F. Kihlstrom - 1987 - Science 237:1445-1452.
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  • The knowledge level.Allen Newell - 1982 - Artificial Intelligence 18 (1):81-132.
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  • On language and connectionism: Analysis of a parallel distributed processing model of language acquisition.Steven Pinker & Alan Prince - 1988 - Cognition 28 (1-2):73-193.
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  • Connectionism and cognitive architecture: A critical analysis.Jerry A. Fodor & Zenon W. Pylyshyn - 1988 - Cognition 28 (1-2):3-71.
    This paper explores the difference between Connectionist proposals for cognitive a r c h i t e c t u r e a n d t h e s o r t s o f m o d e l s t hat have traditionally been assum e d i n c o g n i t i v e s c i e n c e . W e c l a i m t h a t t h (...)
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  • (1 other version)A logical calculus of the ideas immanent in nervous activity.Warren S. McCulloch & Walter Pitts - 1943 - The Bulletin of Mathematical Biophysics 5 (4):115-133.
    Because of the “all-or-none” character of nervous activity, neural events and the relations among them can be treated by means of propositional logic. It is found that the behavior of every net can be described in these terms, with the addition of more complicated logical means for nets containing circles; and that for any logical expression satisfying certain conditions, one can find a net behaving in the fashion it describes. It is shown that many particular choices among possible neurophysiological assumptions (...)
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  • Is there a cell-biological alphabet for simple forms of learning?Robert D. Hawkins & Eric R. Kandel - 1984 - Psychological Review 91 (3):375-391.
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  • (1 other version)A Logical Calculus of the Ideas Immanent in Nervous Activity.Warren S. Mcculloch & Walter Pitts - 1943 - Journal of Symbolic Logic 9 (2):49-50.
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  • Antibodies and learning: Selection versus instruction.Niels Kaj Jerne - 1994 - In H. Gutfreund & G. Toulouse (eds.), Biology and Computation: A Physicist's Choice. World Scientific. pp. 278.
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  • Computational neuroscience.Terrence J. Sejnowski - 1986 - Behavioral and Brain Sciences 9 (1):104-105.
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  • Brain organization for language from the perspective of electrical stimulation mapping.George A. Ojemann - 1983 - Behavioral and Brain Sciences 6 (2):189-206.
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