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Jeff was a pioneer in artificial neural networks and internationally recognized for his work in language learning and processing. His early TRACE model of speech perception, with Jay McClelland, remains one of the major theories in the field. In 1990, in a paper entitled “Finding Structure in Time,” which has more than 9,000 citations to date, he introduced the Simple Recurrent Network, the so-called “Elman net.” Elman nets are today used in many fields – from cognitive science and psychology to economics and physics – to model behaviors that unfold over time. They gave rise to speech recognition technologies and inspired deep learning and branches of machine learning. Also widely influential is his 1996 co-authored book, “Rethinking Innateness,” which argues against a nativist view of development.
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Connectionist psychology: A text with readingspp.289-312, (2020)
msra(2017)
A Companion to Cognitive Sciencepp.488-505, (2017)
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