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

Jay McClelland is a cognitive scientist at Stanford. Please support
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to 10% off EPISODE LINKS: Jay's Website:
https://stanford.edu/~jlmcc/ PODCAST INFO: Podcast website:
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https://medium.com/@lexfridman 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