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

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