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#222 – Jay McClelland: Neural Networks and the Emergence of Cognition
Lex Fridman Podcast
Sep 20, 2021
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Episode description
Jay McClelland is a cognitive scientist at Stanford. Please support this podcast by checking out our sponsors: - Paperspace:
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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
