#222 – Jay McClelland: Neural Networks and the Emergence of Cognition
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About this episode
<p>Jay McClelland is a cognitive scientist at Stanford. Please support this podcast by checking out our sponsors:<br />
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<p><b>OUTLINE:</b><br />
Here’s the timestamps for the episode. On some podcast players you should be able to click the timestamp to jump to that time.<br />
(00:00) – Introduction<br />
(07:12) – Beauty in neural networks<br />
(11:31) – Darwin and evolution<br />
(17:16) – The origin of intelligence<br />
(23:58) – Explorations in cognition<br />
(30:02) – Learning representations by back-propagating errors<br />
(36:27) – Dave Rumelhart and cognitive modeling<br />
(49:30) – Connectionism<br />
(1:12:23) – Geoffrey Hinton<br />
(1:14:19) – Learning in a neural network<br />
(1:31:11) – Mathematics & reality<br />
(1:38:19) – Modeling intelligence<br />
(1:48:57) – Noam Chomsky and linguistic cognition<br />
(2:03:18) – Advice for young people<br />
(2:14:26) – Psychiatry and exploring the mind<br />
(2:27:04) – Legacy<br />
(2:32:53) – Meaning of life</p>