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

Lex Fridman Lex Fridman 9/20/21 - Episode Page

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