Li, P., Farkas, I., & MacWhinney, B. (2004) Early lexical development in a self-organizing neural network. Neural Networks 17, 1345-1362. This paper shows how a growing, self-organizing feature map can model children's lexical learning in a neuropsychologically plausible way.

Klahr, D. and MacWhinney, B. (1998) Information processing In Damon, W., Kuhn, D, and Siegler, W. (Eds.) The Manual of Child Psychology. Volume 2. Examines AI and connectionist approaches to development.

Gupta, P., & MacWhinney, B. (1997). Vocabulary acquisition and verbal short-term memory: Computational and neural bases. Brain and Language, 59, 267-333. Develops the thesis that the phonological loop was designed, at least in part, to support vocabulary learning.

MacWhinney, B. (1994) The Dinosaurs and the Ring. In Corrigan, R., Lima, S. and Noonan, M. (Eds.) The reality of linguistic rules. pp. 283-320. Amsterdam: John Benjamins. A summary of the state of the cues vs. rules debate circa 1993.

MacWhinney, B., & Leinbach, J. (1991) Implementations are not conceptualizations: Revising the Verb Learning Model. Cognition, 29, 121-157. Defense of neural network modelling of the learning of English inflectional morphology based on a new simulation.

MacWhinney, B. (1993) Connections and symbols: closing the gap. Cognition, 49, 291-296. Commentary on Ling and Marinov's symbolic answer to the neural network model of MacWhinney and Leinbach (1991) in the previous paper.

MacWhinney, B. J., Leinbach, J., Taraban, R., & McDonald, J. L. (1989). Language learning: Cues or rules? Journal of Memory and Language, 28, 255-277. A neural network model of the acquisition of the German case-gender-number nominal marking system.

Stemberger, J., & MacWhinney, B. (1986). Frequency and the lexical storage of regularly inflected forms. Memory and Cognition, 14, 17-26.