Jay McClelland
Also known as James L. McClelland
Jay McClelland is a Stanford cognitive scientist whose research uses neural-network models to understand human cognition. With David Rumelhart, he published work on interactive activation in letter perception and co-founded the Parallel Distributed Processing research group. His honors include the 2010 Rumelhart Prize and the 2014 C.L. de Carvalho-Heineken Prize for Cognitive Science. In 2025, he co-authored The Emergent Mind, a book about intelligence in people and machines; as of October 2026, he directs Stanford's Center for Mind, Brain, Computation and Technology and researches mathematical cognition and reasoning in humans and contemporary AI.
Timeline
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1975–1984
A path into cognitive psychology
After earning his 1975 PhD in cognitive psychology at the University of Pennsylvania, he joined the University of California, San Diego faculty and moved to Carnegie Mellon in 1984.
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1982
Letters in context
With David Rumelhart, he published Part 2 of the interactive activation model of context effects in letter perception.
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1984–2006
A framework for cognition
At Carnegie Mellon, he became a University Professor and held the Walter Van Dyke Bingham Chair. He co-founded the Parallel Distributed Processing Research Group with David Rumelhart; the group published the two-volume Parallel Distributed Processing in 1986.
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2006–2012
A Stanford center
In 2006, he moved to Stanford, founded the Center for Mind, Brain, and Computation in 2007, and chaired the Psychology Department from fall 2009 through summer 2012.
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2010
The Rumelhart Prize
At the Cognitive Science Society's 32nd annual meeting in August 2010, he received the Rumelhart Prize and delivered its lecture.
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2014
A Heineken Prize
In 2014, he received the C.L. de Carvalho-Heineken Prize for Cognitive Science.
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2025
Writing about minds and machines
With computational neuroscientist Gaurav Suri, he co-authored The Emergent Mind: How Intelligence Arises in People and Machines, a book about the relationship between neural networks in brains and AI systems.
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As of October 2026
Researching cognition and AI
As of October 2026, he is Lucie Stern Professor in the Social Sciences and Professor of Psychology at Stanford, and director of the Center for Mind, Brain, Computation and Technology. His lab studies mathematical cognition and reasoning in humans and contemporary AI systems based on neural networks.
Sources and credits
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