Golden, R. M. (1986). The "Brain-State-in-a-Box" neural model is a gradient descent algorithm. Journal of Mathematical Psychology, 30, 73-80.
Golden, R. M. (1988). A unified framework for connectionist systems. Biological Cybernetics, 59, 109-120.
Golden, R. M. (1993). Stability and optimization analyses of the generalized brain-state-in-a-box neural network model. Journal of Mathematical Psychology, 37, 282-298.
Golden, R. M. (1995). Making correct statistical inferences using a wrong probability model. Journal of Mathematical Psychology, 39, 3-20.
Rumelhart, D. E., Durbin, R., Golden, R. M., Chauvin, Y. (1996). Backpropagation: The basic theory. In P. Smolensky, M. C. Mozer, and D.E. Rumelhart (eds.) Mathematical Perspectives on Neural Networks, Erlbaum: NJ, 553-566.
Golden, R. M. (1996). Mathematical Methods for Neural Network Analysis and Design. MIT Press, Cambidge: MA.
Golden, R. M. (1997). Optimal statistical goals for neural networks are necessary, important, and practical. In D. S. Levine and W. R. Elsberry (eds.) Optimality in Biological and Artificial Neural Networks?
Golden, R. M. (in press). Statistical tests for comparing possibly misspecified and non-nested models. Journal of Mathematical Psychology.
Golden, R. M. (March 2, 2000). Discrepancy Risk Model Selection Tests for Comparing Possibly Misspecified or Non-nested Moodels Submitted for publication. Comments would be appreciated!
Slide Presentation for Discrepancy Risk Model Selection Test Theory
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