معرفی
Jay McClelland is the Lucie Stern Professor in the Social Sciences at Stanford University, where he serves as Professor of Psychology and, by courtesy, of Linguistics and of Computer Science. He directs the Center for Mind, Brain, Computation and Technology (MBCT) and is affiliated with multiple interdisciplinary institutes including Bio-X, the Wu Tsai Neurosciences Institute, and the Institute for Human-Centered Artificial Intelligence.
Dr. McClelland's research spans multiple domains of cognitive science, with a focus on understanding how cognition emerges from distributed neural processing. His work addresses fundamental questions in perception and decision making, learning and memory, language and reading, semantic cognition, and cognitive development. A newer direction in his laboratory investigates mathematical cognition and reasoning across humans and artificial neural networks.
His publications reveal a consistent theme of applying connectionist approaches to understand cognitive phenomena, with recent work exploring the intersection of human cognition and artificial intelligence. McClelland's research demonstrates how neural network models can illuminate both human cognitive processes and the potential pathways for developing more human-like AI systems.
- Distinguished Scientific Contribution Award, American Psychological Association (1996)
- Member, National Academy of Sciences (2001-)
As an educator, McClelland teaches foundational courses in cognition and mentors doctoral students in psychology and related disciplines. His laboratory provides research opportunities for students interested in computational approaches to cognitive science, with current advisees working on topics ranging from language processing to mathematical cognition.
McClelland leads the PDP Lab (Parallel Distributed Processing Lab) and the Center for Mind, Brain, Computation and Technology, which serve as hubs for interdisciplinary research connecting cognitive science, neuroscience, and artificial intelligence.
