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