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Nội dung được cung cấp bởi Machine Learning Street Talk (MLST). Tất cả nội dung podcast bao gồm các tập, đồ họa và mô tả podcast đều được Machine Learning Street Talk (MLST) hoặc đối tác nền tảng podcast của họ tải lên và cung cấp trực tiếp. Nếu bạn cho rằng ai đó đang sử dụng tác phẩm có bản quyền của bạn mà không có sự cho phép của bạn, bạn có thể làm theo quy trình được nêu ở đây https://vi.player.fm/legal.
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Unlocking the Brain's Mysteries: Chris Eliasmith on Spiking Neural Networks and the Future of Human-Machine Interaction

1:49:36
 
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Manage episode 360306039 series 2803422
Nội dung được cung cấp bởi Machine Learning Street Talk (MLST). Tất cả nội dung podcast bao gồm các tập, đồ họa và mô tả podcast đều được Machine Learning Street Talk (MLST) hoặc đối tác nền tảng podcast của họ tải lên và cung cấp trực tiếp. Nếu bạn cho rằng ai đó đang sử dụng tác phẩm có bản quyền của bạn mà không có sự cho phép của bạn, bạn có thể làm theo quy trình được nêu ở đây https://vi.player.fm/legal.

Patreon: https://www.patreon.com/mlst

Discord: https://discord.gg/ESrGqhf5CB

Twitter: https://twitter.com/MLStreetTalk

Chris Eliasmith is a renowned interdisciplinary researcher, author, and professor at the University of Waterloo, where he holds the prestigious Canada Research Chair in Theoretical Neuroscience. As the Founding Director of the Centre for Theoretical Neuroscience, Eliasmith leads the Computational Neuroscience Research Group in exploring the mysteries of the brain and its complex functions. His groundbreaking work, including the Neural Engineering Framework, Neural Engineering Objects software environment, and the Semantic Pointer Architecture, has led to the development of Spaun, the most advanced functional brain simulation to date. Among his numerous achievements, Eliasmith has received the 2015 NSERC "Polany-ee" Award and authored two influential books, "How to Build a Brain" and "Neural Engineering."

Chris' homepage:

http://arts.uwaterloo.ca/~celiasmi/

Interviewers: Dr. Tim Scarfe and Dr. Keith Duggar

TOC:

Intro to Chris [00:00:00]

Continuous Representation in Biologically Plausible Neural Networks [00:06:49]

Legendre Memory Unit and Spatial Semantic Pointer [00:14:36]

Large Contexts and Data in Language Models [00:20:30]

Spatial Semantic Pointers and Continuous Representations [00:24:38]

Auto Convolution [00:30:12]

Abstractions and the Continuity [00:36:33]

Compression, Sparsity, and Brain Representations [00:42:52]

Continual Learning and Real-World Interactions [00:48:05]

Robust Generalization in LLMs and Priors [00:56:11]

Chip design [01:00:41]

Chomsky + Computational Power of NNs and Recursion [01:04:02]

Spiking Neural Networks and Applications [01:13:07]

Limits of Empirical Learning [01:22:43]

Philosophy of Mind, Consciousness etc [01:25:35]

Future of human machine interaction [01:41:28]

Future research and advice to young researchers [01:45:06]

Refs:

http://compneuro.uwaterloo.ca/publications/dumont2023.html

http://compneuro.uwaterloo.ca/publications/voelker2019lmu.html

http://compneuro.uwaterloo.ca/publications/voelker2018.html

http://compneuro.uwaterloo.ca/publications/lu2019.html

https://www.youtube.com/watch?v=I5h-xjddzlY

  continue reading

151 tập

Artwork
iconChia sẻ
 
Manage episode 360306039 series 2803422
Nội dung được cung cấp bởi Machine Learning Street Talk (MLST). Tất cả nội dung podcast bao gồm các tập, đồ họa và mô tả podcast đều được Machine Learning Street Talk (MLST) hoặc đối tác nền tảng podcast của họ tải lên và cung cấp trực tiếp. Nếu bạn cho rằng ai đó đang sử dụng tác phẩm có bản quyền của bạn mà không có sự cho phép của bạn, bạn có thể làm theo quy trình được nêu ở đây https://vi.player.fm/legal.

Patreon: https://www.patreon.com/mlst

Discord: https://discord.gg/ESrGqhf5CB

Twitter: https://twitter.com/MLStreetTalk

Chris Eliasmith is a renowned interdisciplinary researcher, author, and professor at the University of Waterloo, where he holds the prestigious Canada Research Chair in Theoretical Neuroscience. As the Founding Director of the Centre for Theoretical Neuroscience, Eliasmith leads the Computational Neuroscience Research Group in exploring the mysteries of the brain and its complex functions. His groundbreaking work, including the Neural Engineering Framework, Neural Engineering Objects software environment, and the Semantic Pointer Architecture, has led to the development of Spaun, the most advanced functional brain simulation to date. Among his numerous achievements, Eliasmith has received the 2015 NSERC "Polany-ee" Award and authored two influential books, "How to Build a Brain" and "Neural Engineering."

Chris' homepage:

http://arts.uwaterloo.ca/~celiasmi/

Interviewers: Dr. Tim Scarfe and Dr. Keith Duggar

TOC:

Intro to Chris [00:00:00]

Continuous Representation in Biologically Plausible Neural Networks [00:06:49]

Legendre Memory Unit and Spatial Semantic Pointer [00:14:36]

Large Contexts and Data in Language Models [00:20:30]

Spatial Semantic Pointers and Continuous Representations [00:24:38]

Auto Convolution [00:30:12]

Abstractions and the Continuity [00:36:33]

Compression, Sparsity, and Brain Representations [00:42:52]

Continual Learning and Real-World Interactions [00:48:05]

Robust Generalization in LLMs and Priors [00:56:11]

Chip design [01:00:41]

Chomsky + Computational Power of NNs and Recursion [01:04:02]

Spiking Neural Networks and Applications [01:13:07]

Limits of Empirical Learning [01:22:43]

Philosophy of Mind, Consciousness etc [01:25:35]

Future of human machine interaction [01:41:28]

Future research and advice to young researchers [01:45:06]

Refs:

http://compneuro.uwaterloo.ca/publications/dumont2023.html

http://compneuro.uwaterloo.ca/publications/voelker2019lmu.html

http://compneuro.uwaterloo.ca/publications/voelker2018.html

http://compneuro.uwaterloo.ca/publications/lu2019.html

https://www.youtube.com/watch?v=I5h-xjddzlY

  continue reading

151 tập

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