Jeffrey Elman

American cognitive scientist who developed the Elman network (Simple Recurrent Network) — the foundational architecture for processing sequential data including language.

Finding Structure in Time (1990): the Elman network — a recurrent neural network with a context layer — can learn the sequential structure of language from exposure alone. Starting small: children may learn language more easily because their limited memory forces them to attend to local patterns first.