Rate My Professor Jeffrey Elman

Elman’s research centered on language processing, psycholinguistics, event representation, discourse coherence, and connectionist models of cognitive development. He co-developed the TRACE model of speech perception and introduced the Simple Recurrent Network (Elman net) in his seminal 1990 paper “Finding Structure in Time” (Cognitive Science), with over 19,000 citations. Key publications include “Learning and development in neural networks: the importance of starting small” (Cognition, 1993), “Distributed representations, simple recurrent networks, and grammatical structure” (Machine Learning, 1991), the co-authored book “Rethinking Innateness: A Connectionist Perspective on Development” (MIT Press, 1996), and “The TRACE model of speech perception” (Cognitive Psychology, 1986). His contributions have shaped psychology, cognitive science, neuroscience, and machine learning. Honors include the David E. Rumelhart Prize (2007), election to the American Academy of Arts and Sciences (2016), Inaugural Fellow of the Cognitive Science Society (2002), Doctor Honoris Causa from New Bulgarian University (2002), and Fellow of the American Psychological Society (2015). He served as Senior Editor of the Journal of the Cognitive Science Society (1992-1995) and on editorial boards for Neural Computation, Neural Networks, and others.