Artwork

محتوای ارائه شده توسط Machine Learning Street Talk (MLST). تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Machine Learning Street Talk (MLST) یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.player.fm/legal
Player FM - برنامه پادکست
با برنامه Player FM !

Unlocking the Brain's Mysteries: Chris Eliasmith on Spiking Neural Networks and the Future of Human-Machine Interaction

1:49:36
 
اشتراک گذاری
 

Manage episode 360306039 series 2803422
محتوای ارائه شده توسط Machine Learning Street Talk (MLST). تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Machine Learning Street Talk (MLST) یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.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

180 قسمت

Artwork
iconاشتراک گذاری
 
Manage episode 360306039 series 2803422
محتوای ارائه شده توسط Machine Learning Street Talk (MLST). تمام محتوای پادکست شامل قسمت‌ها، گرافیک‌ها و توضیحات پادکست مستقیماً توسط Machine Learning Street Talk (MLST) یا شریک پلتفرم پادکست آن‌ها آپلود و ارائه می‌شوند. اگر فکر می‌کنید شخصی بدون اجازه شما از اثر دارای حق نسخه‌برداری شما استفاده می‌کند، می‌توانید روندی که در اینجا شرح داده شده است را دنبال کنید.https://fa.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

180 قسمت

Alle episoder

×
 
Loading …

به Player FM خوش آمدید!

Player FM در سراسر وب را برای یافتن پادکست های با کیفیت اسکن می کند تا همین الان لذت ببرید. این بهترین برنامه ی پادکست است که در اندروید، آیفون و وب کار می کند. ثبت نام کنید تا اشتراک های شما در بین دستگاه های مختلف همگام سازی شود.

 

راهنمای مرجع سریع