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

 
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By Lex Fridman. Discovered by Player FM and our community — copyright is owned by the publisher, not Player FM, and audio is streamed directly from their servers. Hit the Subscribe button to track updates in Player FM, or paste the feed URL into other podcast apps.

Jay McClelland is a cognitive scientist at Stanford. Please support this podcast by checking out our sponsors:
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EPISODE LINKS:
Jay’s Website: https://stanford.edu/~jlmcc/

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OUTLINE:
Here’s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time.
(00:00) – Introduction
(07:12) – Beauty in neural networks
(11:31) – Darwin and evolution
(17:16) – The origin of intelligence
(23:58) – Explorations in cognition
(30:02) – Learning representations by back-propagating errors
(36:27) – Dave Rumelhart and cognitive modeling
(49:30) – Connectionism
(1:12:23) – Geoffrey Hinton
(1:14:19) – Learning in a neural network
(1:31:11) – Mathematics & reality
(1:38:19) – Modeling intelligence
(1:48:57) – Noam Chomsky and linguistic cognition
(2:03:18) – Advice for young people
(2:14:26) – Psychiatry and exploring the mind
(2:27:04) – Legacy
(2:32:53) – Meaning of life

241 episodes