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

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

Released Monday, 20th September 2021
Good episode? Give it some love!
#222 – Jay McClelland: Neural Networks and the Emergence of Cognition

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

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

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

Monday, 20th September 2021
Good episode? Give it some love!
Rate Episode

Jay McClelland is a cognitive scientist at Stanford. Please support this podcast by checking out our sponsors:- Paperspace: https://gradient.run/lex to get $15 credit- Skiff: https://skiff.org/lex to get early access- Uprising Food: https://uprisingfood.com/lex to get $10 off 1st starter bundle- Four Sigmatic: https://foursigmatic.com/lex and use code LexPod to get up to 60% off- Onnit: https://lexfridman.com/onnit to get up to 10% off

EPISODE LINKS:Jay's Website: https://stanford.edu/~jlmcc/

PODCAST INFO:Podcast website: https://lexfridman.com/podcastApple Podcasts: https://apple.co/2lwqZIrSpotify: https://spoti.fi/2nEwCF8RSS: https://lexfridman.com/feed/podcast/YouTube Full Episodes: https://youtube.com/lexfridmanYouTube Clips: https://youtube.com/lexclips

SUPPORT & CONNECT:- Check out the sponsors above, it's the best way to support this podcast- Support on Patreon: https://www.patreon.com/lexfridman- Twitter: https://twitter.com/lexfridman- Instagram: https://www.instagram.com/lexfridman- LinkedIn: https://www.linkedin.com/in/lexfridman- Facebook: https://www.facebook.com/lexfridman- Medium: https://medium.com/@lexfridman

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

Show More
Rate

Join Podchaser to...

  • Rate podcasts and episodes
  • Follow podcasts and creators
  • Create podcast and episode lists
  • & much more

Episode Tags

Do you host or manage this podcast?
Claim and edit this page to your liking.
,

Unlock more with Podchaser Pro

  • Audience Insights
  • Contact Information
  • Demographics
  • Charts
  • Sponsor History
  • and More!
Pro Features