Demonstrates how innate representational capabilities for serial and temporal structure of language could arise from a common neural architecture, distinct from that required for the representation of abstract structure, and provides a predictive testable model of the initial computational state of the language learner. (Author/VWL)

Several aspects of the measurement and analysis of event-related brain potentials are explained in this introduction to a special issue, and some interpretation issues relevant for language studies are discussed. This article provides background for language researchers not familiar with the methodology. (Contains 42 references.) (Author/LB)

Describes a connectionist model accounting for newborn infants' ability to finely discriminate almost all human speech contrasts and the fact that their phonemic category boundaries are identical, even for phonemes outside their target language. The model posits an innately guided learning in which an artificial neural network is stored in a…