NEURAL NETS CANNOT LIVE BY THOUGHT (EXPERIMENTS) ALONE
Book Review of Nigrin on Pattern Recognition

Abstract

Although Nigrin's (1993) book contains major developments in the use of adaptive resonance neural networks, the exclusive reliance on gedanken experiments and the consequent lack of simulations of real experimental data will do little to improve the low "take up" of adaptive resonance ideas amongst psychologists.

Keywords

References

• Gray, J.A. (1982). The neuropsychology of anxiety. Oxford: Oxford University Press.
• Grossberg, S. (1982). Studies of mind and brain: neural principles of learning, perception, development, cognition, and motor control. Boston: Reidel Press.
• Grossberg, S. (1987). Competitive learning: from interactive activation to adaptive resonance. Cognitive Science, 11, 23-63.
• Marr, D. (1982). Vision: A computational investigation into the human representation and processing of visual information. New York: W.H. Freeman and Co.
• Nigrin, A. (1993). Neural Networks for Pattern Recognition. Cambridge, Mass.: The MIT Press.
• Nigrin, A. (1994). Precis of: Neural Networks for Pattern Recognition. PSYCOLOQUY, 5(2), pattern-recognition.1.nigrin.
• Page, M.P.A. (in press). Modeling the perception of musical sequences with self-organising neural networks. Connection Science.
• Pickering, A.D. (1994, August). Context: Netting such a big fish is an ART. Paper to be presented at the Third International Conference on Practical Aspects of Memory. University of Maryland.
• Shanks, D.R. (1991). Categorisation by a connectionist network. Journal of Experimental Psychology: Learning, Memory, and Cognition, 17, 433-443.