Abstract
In spite of the enormous complexity of the human brain, there are good reasons to believe that only a few basic principles will be needed to understand how it processes sensory input and controls motor output. In fact, the most important principles may be known already! These principles provide the basis for a definite mathematical theory of learning, memory, and behavior.
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References
Scott [1977] discusses single neuron models from the viewpoint of a physicist. The articles by Amari in Metzlet [1977] and by Kohonen in Hinton and Anderson [1981] are good samples of work on network modeling by Grossberg’s “competitors,” The “bottom-up” approach in Freeman [1975] appears to be converging on the same idea of adaptive resonance that came from Grossberg’s “top-down” approach, but much theoretical work needs to be done to relate the approaches.
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© 1987 D. Reidel Publishing Company
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Hestenes, D. (1987). How the Brain Works: The Next Great Scientific Revolution. In: Smith, C.R., Erickson, G.J. (eds) Maximum-Entropy and Bayesian Spectral Analysis and Estimation Problems. Fundamental Theories of Physics, vol 21. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-3961-5_11
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DOI: https://doi.org/10.1007/978-94-009-3961-5_11
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