Ash, T. (1989). Dynamic node creation in backpropagation networks. Connection Science, 1, 365375.

Baker, C.L. (1979). Syntactic theory and the projection problem. Linguistic Inquiry, 10:533-581.

Bowerman, M. (1987). The `no negative evidence' problem: How do children avoid constructing an overly general grammar? In J.A. Hawkins (Ed.), Explaining language universals. Oxford: Basil Blackwell.

Braine, M.D.S. (1971). On two types of models of the internalization of grammars. In D.I. Slobin (Ed.), The ontogenesis of grammar: A theoretical perspective. New York: Academic Press.

Brown, R., & Hanlon, C. (1970). Derivational complexity and order of acquisition in child speech. In J.R. Hayes (Ed.), Cognition and the development of language. New York: Wiley.

Chomsky, N. (1957). Syntactic structures. The Hague: Mouton.

Dunbar, K. & Klahr, D. (1989). Developmental differences in scientific discovery processes. In D. Klahr and K. Kotovsky (Eds.), The 21st Carnegie-Mellon symposium on cognition: Complex information processing: The Impact of Herbert A. Simon. Hillsdale, NJ: Lawrence Erlbaum.

Elman, J.L. (1990). Finding structure in time. Cognitive Science, 14:179-211.

Elman, J.L. (1991). Distributed representations, simple recurrent networks, and grammatical structure. Machine Learning, 7:195-225.

Estes, W.K. (1986). Array models for category learning. Cognitive Psychology, 18:500-549.

Fahlman, S.E., & Lebiere, C. (1990). The Cascade-Correlation learning architecture. In D.S. Touretzky (Ed.), Advances in Neural Information Processing Systems 2, 524-532.

Gold, E.M. (1967). Language identification in the limit. Information and Control, 16:447-474.

Gonzalez, R.C., & Wintz, P. (1977). Digital image processing. Reading, MA: Addison-Wesley.

Harris, C. (1991). Parallel distributed processing models and metaphors for language and development. Ph.D. dissertation, University of California, San Diego.

Jordan, M. I. (1986). Serial order: A parallel distributed processing approach. Institute for Cognitive Science Report 8604. University of California, San Diego.

Kail, R. (1984). The development of memory. New York: W.H. Freeman.

Lea, G. & Simon, H.A. (1979). Problem solving and rule induction. In H.A. Simon (Ed.), Models of Thought. New Haven, CT: Yale University Press.

McClelland, J.L. (in press). Parallel distributed processing: Implications for cognition and development. In R. Morris (Ed.), Parallel distributed processing: Implications for psychology and neurobiology. Oxford: Oxford University Press.

McKenzie, B.E., Tootell, H.E., &Day, R.H. (1980). Development of visual size constancy during Elman Learning and development in neural networks -22the first year of human infancy. Developmental Psychology, 16:163-174.

Medin, D.L., & Schaffer, M.M. (1978). Context theory of classification learning. Psychological Review, 85:207-238.

Miller, G.A., & Chomsky, N. (1963). Finitary models of language users. In R.D. Luce, R.R. Bush, & E. Galanter (Eds.), Handbook of Mathematical Psychology, Volume II. New York: John Wiley.

Newport, E.L. (1988). Constraints on learning and their role in language acquisition: Studies of the acquisition of American Sign Language. Language Sciences, 10:147-172.

Newport, E.L. (1990). Maturational constraints on language learning. Cognitive Science, 14:1128.

Nosofsky, R.M. (in press). Exemplars, prototypes, and similarity rules. In A. Healy, S. Kosslyn, &R. Shiffrin (Eds.), From learning theory to connectionist theory: Essays in honor of William K. Estes (Vol. 1). Hillsdale, NJ: Lawrence Erlbaum.

Osherson, D.N., Stob, M., & Weinstein, S. (1986). Systems that learn: An introduction to learning theory for cognitive and computer scientists. Cambridge, MA: MIT Press.

Pinker, S. (1989). Learnability and cognition. Cambridge, MA: MIT Press.

Plunkett, K., & Marchman, V. (1990). From rote learning to system building. Center for Research in Language, TR 9020. University of California, San Diego.

Pollack, J.B. (1990). Language acquisition via strange automata. Proceedings of the Twelfth Annual Conference of the Cognitive Science Society. Hillsdale, NJ: Erlbaum.

Rumelhart, D.E., Hinton, G.E., & Williams, R.J. (1986). Learning internal representations by error propagation. In D.E. Rumelhart & J.L. McClelland (Eds.), Parallel distributed processing: Explorations in the microstructure of cognition (Vol. 1). Cambridge, MA: MIT Press.

Servan-Schreiber, D., Cleeremans, A., & McClelland, J.L. (1986). Encoding sequential structure in simple recurrent networks. CMU Technical Report CMU-CS-88-183. Computer Science Department, Carnegie-Mellon University.

Shultz, T.R., & Schmidt, W.C. (1991). A Cascade-Correlation model of balance scale phenomenon. In Proceedings of the Thirteenth Annual Conference of the Cognitive Science Society. Hillsdale, NJ: Erlbaum.

Turkewitz, G., & Kenny, P.A. (1982). Limitations on input as a basis for neural organization and perceptual development: A preliminary theoretical statement. Developmental Psychobiology, 15(4):257-368.

Wexler, K., & Cullicover, P. (1980) Formal principles of language acquisition. Cambridge, MA: MIT Press. Elman Learning and development in neural networks -23