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Lex Fridman Podcast
#222 – Jay McClelland: Neural Networks and the Emergence of Cognition
Lex Fridman Podcast

#222 – Jay McClelland: Neural Networks and the Emergence of Cognition

Lex Fridman 57 months ago
Conversations that explore technology, history, philosophy, physics, mathematics, biology, chemistry, engineering, AI, robotics, programming, music, film, art, sports, psychology, neuroscience, geopolitics, business, economics, religion, astronomy, and the human condition with people from all walks of life.
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Jay McClelland is a cognitive scientist at Stanford. Please support this podcast by checking out our sponsors:
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Here’s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time.
() – Introduction
() – Beauty in neural networks
() – Darwin and evolution
() – The origin of intelligence
() – Explorations in cognition
() – Learning representations by back-propagating errors
() – Dave Rumelhart and cognitive modeling
() – Connectionism
() – Geoffrey Hinton
() – Learning in a neural network
() – Mathematics & reality
() – Modeling intelligence
() – Noam Chomsky and linguistic cognition
() – Advice for young people
() – Psychiatry and exploring the mind
() – Legacy
() – Meaning of life

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