Pioneering cognitive scientist Jay McClelland on how mind emerges from neural networks, the magic of emergence, and the people behind the deep learning revolution.

Jay McClelland — Cognitive scientist at Stanford and a seminal figure in neural network research, co-author of the Parallel Distributed Processing books with David Rumelhart that helped lay the groundwork for the modern deep learning revolution.
McClelland traces his lifelong conviction that thought is fundamentally biological, rejecting the Cartesian split between body and mind. He recounts the 1970s-80s San Diego research group with David Rumelhart and Jeff Hinton where connectionism, the interactive activation model, and backpropagation took shape. He explains emergence, distributed representation, and how degradation of these representations explains semantic dementia, the very condition that took Rumelhart. The conversation ranges into mathematical cognition, the role of intuition versus logic, the expert blind spot, and how meaning is something humans make rather than discover.
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James McClelland and David Rumelhart
“you wrote parallel distributed processing books that explored ideas of neural networks in the 1980s together with a few folks” — Lex Fridman 00:17:34Find it on Amazon