Abstract
Many of the most important properties of biological intelligence arise through a process of self-organization whereby a biological system actively interacts with a complex environment in real-time. The environment is often noisy and nonstationary, and intelligent capabilities are learned autonomously and without benefit of an external teacher. For example, children learn to visually recognize and manipulate many complex objects without being provided with explicit rules for how to do so.
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References
G.A. Carpenter, S. Grossberg: Computer Vision, Graphics, and Image Processing, 37, 1987, p. 54.
G.A. Carpenter, S. Grossberg: Applied Optics, 26, 1987, p. 4919.
S. Grossberg (Ed.): The Adaptive Brain, Volumes I and II. Amsterdam: Elsevier/North-Holland, 1987.
S. Grossberg (Ed.): Neural Networks and Natural Intelligence. Cambridge, MA: MIT Press, 1988.
C. von der Malsburg: Kybernetik, 14, 1973, p. 85.
S. Grossberg: Biological Cybernetics, 23, 1976, p. 121.
S. Amari, A. Takeuchi: Biological Cybernetics, 29, 1978, p. 127.
E.L. Bienenstock, L.N. Cooper, P.W. Munro: Journal of Neuroscience, 2, 1982, p. 32.
T. Kohonen: Self-Organization and Associative Memory. New York: Springer-Verlag, 1984.
D.H. Ackley, G.E. Hinton, T. J. Sejnowski: Cognitive Science, 9, 1985, p. 147.
D.E. Rumelhart, G.E. Hinton, R.J. Williams: In D.E. Rumelhart and J.L. McClelland (Eds.), Parallel Distributed Processing. Cambridge, MA: MIT Press, 1986.
A.L. Hodgkin, A.F. Huxley: Journal of Physiology, 117, 1952, p. 500.
A.B. Gschwendtner, R.C. Harney, R.J. Hull: In D.K. Killinger and A. Mooradian (Eds.), Optical and Laser Remote Sensing. New York: Springer-Verlag, 1983.
D. Casasent, D. Psaltis: Applied Optics, 15, 1976, p. 1793.
E.L. Schwartz: Vision Research, 20, 1980, p. 645.
G.A. Carpenter, S. Grossberg: Computer, 21, 1988, p. 77.
M. Cohen, S. Grossberg, D. Stork: In M. Caudill and C. Butler ( Eds. ), Proceedings of the IEEE International Conference on Neural Networks, IV, 1987, 443–454.
S. Grossberg: Biological Cybernetics, 23, 1976, p. 187.
J.D. Pettigrew, T. Kasamatsu: Science, 194, 1976, p. 206.
J.D. Pettigrew, T. Kasamatsu: Nature, 271, 1978, p. 761.
W. Singer: Human Neurobiology, 1, 1982, p. 41.
S. Grossberg: In R. Rosen and F. Snell (Eds.), Progress in theoretical biology, Vol. 5. New York: Academic Press, 1978, p. 233.
A. Samuel, J.P.H. van Santen, J.C. Johnston: Journal of Experimental Psychology: Human Perception and Performance, 8, 1982, p. 91.
A. Samuel, J.P.H. van Santen, J.C. Johnston: Journal of Experimental Psychology: Human Perception and Performance, 9, 1983, p. 321.
S. Grossberg: Psychological Review, 1, 1980, p. 1.
E. Halgren, N.K. Squires, C.L. Wilson, J.W. Rohrbaugh, T.L. Babb, P.H. Crandall: Science, 210, p. 803.
J.-P. Banquet, J. Baribeau-Braun, N. Leseure: In R. Karrer, J. Cohen, and P. Tueting (Eds.), Brain and information: Event related potentials. New York: New York Academy of Sciences, 1984.
J.-P. Banquet, S. Grossberg: Applied Optics, 26, 1987, p. 4931.
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Carpenter, G.A., Grossberg, S. (1988). Self-Organizing Neural Network Architectures for Real-Time Adaptive Pattern Recognition. In: Haken, H. (eds) Neural and Synergetic Computers. Springer Series in Synergetics, vol 42. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-74119-7_4
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DOI: https://doi.org/10.1007/978-3-642-74119-7_4
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