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/
PODCAST INFO:
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Full episodes playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4
Clips playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOeciFP3CBCIEElOJeitOr41
OUTLINE:
0:00 – Introduction
0:43 – Beauty in neural networks
5:02 – Darwin and evolution
10:47 – The origin of intelligence
17:29 – Explorations in cognition
23:33 – Learning representations by back-propagating errors
29:58 – Dave Rumelhart and cognitive modeling
43:01 – Connectionism
1:05:54 – Geoffrey Hinton
1:07:49 – Learning in a neural network
1:24:42 – Mathematics & reality
1:31:50 – Modeling intelligence
1:42:28 – Noam Chomsky and linguistic cognition
1:56:49 – Advice for young people
2:07:56 – Psychiatry and exploring the mind
2:20:35 – Legacy
2:26:24 – Meaning of life
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