Jay McClelland
Stanford professor of psychology and pioneer in neural network research whose work on parallel distributed processing helped shape modern AI; he discusses distributed representations, emergence, and connections between brains and AI.
Best podcasts with Jay McClelland
Ranked by the Snipd community
61 snips
Sep 20, 2021 • 0sec
#222 – Jay McClelland: Neural Networks and the Emergence of Cognition
Jay McClelland, a cognitive scientist at Stanford, delves into the fascinating interplay of neural networks and human cognition. He discusses how these networks mimic brain functions and explores the evolutionary origins of intelligence. The conversation touches on the philosophical implications of consciousness and the transformation brought by backpropagation in machine learning. McClelland also reflects on the challenges of cognitive modeling and how simpler interactions can lead to complex emergent properties, shedding light on the nature of understanding and identity.
23 snips
Sep 18, 2025 • 1h 22min
AI & THE BRAIN: How Different Are They?
Join Gaurav Suri, a researcher and co-author of The Emergent Mind, along with Jay McClelland, a renowned Stanford psychology professor and neural network pioneer. They dive into fascinating topics like how complexity arises from simple systems, the nature of intelligence in both humans and AI, and the implications of consciousness in machines. The discussion moves from distributed representations to the limits of human memory versus AI learning, leaving listeners to ponder the future of intelligence.
