Self-Organization in a Perceptual Network

Computer

Volumn 21, Issue 3, 1988, Pages 105-117

  Linsker, Ralph ^a  

^a IBM RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; INFORMATION THEORY; OPTIMIZATION; REDUNDANCY; VISION - ARTIFICIAL;

HEBB RULES; LAYERED SELF-ADAPTIVE NETWORK; MAXIMUM INFORMATION PRESERVATION; OPTIMAL INFERENCE; PERCEPTUAL NETWORK;

SYSTEMS SCIENCE AND CYBERNETICS;

EID: 0023981750     PISSN: 00189162     EISSN: None     Source Type: Trade Journal    
DOI: 10.1109/2.36     Document Type: Article

References (13)

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2. D.O.Hebb, The Organization of Behavior, Wiley, New York, 1949.
3. D.H. Hubel and T.N. Wiesel, “Brain Mechanisms of Vision, “ Scientific A merican, Vol. 241, Sept. 1979, pp. 150–162.
4. D.H. Hubel and T.N. Wiesel, “Functional Architecture of Macaque Monkey Visual Cortex” (Ferrier lecture), Proc. Royal Society London, Vol. B198, 1977, pp. 1–59.
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7. P. Huber, “Projection Pursuit,” Ann. Statistics, Vol. 13, No. 2, June 1985, pp. 435–475.
8. P.B. Liebelt, An Introduction to Optimal Estimation, Addison-Wesley, Reading, Mass., 1967.
9. R. Linsker, “Development of Feature-Analyzing Cells and their Columnar Organization in a Layered Self-Adaptive Network,” in R. Cotterill, ed., Computer Simulation in Brain Science, Cambridge Univ. Press, pp. 416–431, in press.
10. B. Widrow and S.D. Stearns, Adaptive Signal Processing, Prentice-Hall, Englewood Cliffs, N.J., 1985.
11. C.E. Shannon, “A Mathematical Theory of Communication,” Bell Systems Tech. J., Vol. 27, 1948, pp. 623–656.
12. R. Linsker, “Towards an Organizing Principle for a Layered Perceptual Network,” in D. Anderson, ed., Neural Information Processing Systems—Natural and Synthetic, Amer. Inst, of Physics (NY), to appear.
13. T. Kohonen, Self-Organization and Associative Memory, Springer-Verlag, 1984.