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Bulletin of the American Mathematical Society

The Bulletin publishes expository articles on contemporary mathematical research, written in a way that gives insight to mathematicians who may not be experts in the particular topic. The Bulletin also publishes reviews of selected books in mathematics and short articles in the Mathematical Perspectives section, both by invitation only.

ISSN 1088-9485 (online) ISSN 0273-0979 (print)

The 2020 MCQ for Bulletin of the American Mathematical Society is 0.84.

What is MCQ? The Mathematical Citation Quotient (MCQ) measures journal impact by looking at citations over a five-year period. Subscribers to MathSciNet may click through for more detailed information.

 

Learning and energy-entropy dependence in some nonlinear functional-differential systems
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by Stephen Grossberg PDF
Bull. Amer. Math. Soc. 75 (1969), 1238-1242
References
  • Stephen Grossberg, A prediction theory for some nonlinear functional-differential equations. II. Learning of patterns, J. Math. Anal. Appl. 22 (1968), 490–522. MR 227568, DOI 10.1016/0022-247X(68)90190-X
  • Stephen Grossberg, A global prediction (or learning) theory for some nonlinear functional-differential equations, Advances in differential and integral equations (Conf. Qualitative Theory of Nonlinear Differential and Integral Equations, Univ. Wisconsin, Madison, Wis., 1968; in memoriam Rudolph E. Langer (1894–1968)), Studies in Appl. Math., No. 5, Soc. Indust. Appl. Math., Philadelphia, Pa., 1969, pp. 64–70. MR 0389252
    • 3. S. Grossberg, On learning, information, lateral inhibition and transmitters, Math. Biosci. 4 (1969), 255-310. 4. S. Grossberg, On the production and release of chemical transmitters and related topics in cellular control, J. Theoret. Biol. 22 (1969), 327-364.
  • Stephen Grossberg, A global prediction (or learning) theory for some nonlinear functional-differential equations, Advances in differential and integral equations (Conf. Qualitative Theory of Nonlinear Differential and Integral Equations, Univ. Wisconsin, Madison, Wis., 1968; in memoriam Rudolph E. Langer (1894–1968)), Studies in Appl. Math., No. 5, Soc. Indust. Appl. Math., Philadelphia, Pa., 1969, pp. 64–70. MR 0389252
  • Stephen Grossberg, Some networks that can learn, remember, and reproduce any number of complicated space-time patterns. I, J. Math. Mech. 19 (1969/1970), 53–91. MR 0281547, DOI 10.1512/iumj.1970.19.19007
    • 7. S. Grossberg, Some physiological and biochemical consequence of psychological postulates, Proc. Nat. Acad. Sci. U.S.A. 60 (1968), 758-765.
  • Stephen Grossberg, On learning and energy-entropy dependence in recurrent and nonrecurrent signed networks, J. Statist. Phys. 1 (1969), 319–350. MR 266640, DOI 10.1007/BF01007484
Additional Information
  • Journal: Bull. Amer. Math. Soc. 75 (1969), 1238-1242
  • DOI: https://doi.org/10.1090/S0002-9904-1969-12373-6
  • MathSciNet review: 0284674