Doris Tsao's guest appearances

Doris Tsao

Brain Inspired

James FitzGerald

Jessica Thompson

David Rosen

Ryan Poplin

Blake Richards

Terrence Sejnowski

David Ferrucci

Raia Hadsell

Melanie Mitchell

Matt Smith

Alison Gopnik

Brian Christian

Robert Wilson

Anil Seth

Jeff Hawkins

OwlTail

Tony Zador

Support the show to get full episodes and join the Discord community.  Doris, Tony, and Blake are the organizers for this year's NAISys conference, From Neuroscience to Artificially Intelligent Systems (NAISys), at Cold Spring Harbor. We discuss the conference itself, some history of the neuroscience and AI interface, their current research interests, and a handful of topics around evolution, innateness, development, learning, and the current and future prospects for using neuroscience to inspire new ideas in artificial intelligence. From Neuroscience to Artificially Intelligent Systems (NAISys).Doris:@doristsao.Tsao Lab.Unsupervised deep learning identifies semantic disentanglement in single inferotemporal face patch neurons.Tony:@TonyZador.Zador Lab.A Critique of Pure Learning: What Artificial Neural Networks can Learn from Animal Brains.Blake:@tyrell_turing.The Learning in Neural Circuits Lab.The functional specialization of visual cortex emerges from training parallel pathways with self-supervised predictive learning. 0:00 - Intro4:16 - Tony Zador5:38 - Doris Tsao10:44 - Blake Richards15:46 - Deductive, inductive, abductive inference16:32 - NAISys33:09 - Evolution, development, learning38:23 - Learning: plasticity vs. dynamical structures54:13 - Different kinds of understanding1:03:05 - Do we understand evolution well enough?1:04:03 - Neuro-AI fad?1:06:26 - Are your problems bigger or smaller now?

<a href="https://www.patreon.com/braininspired" rel="nofollow" target="_blank">Support the show</a> to get full episodes and join the Discord community. <a href="https://www.patreon.com/braininspired" rel="nofollow" target="_blank"></a> Doris, Tony, and Blake are the organizers for this year's NAISys conference, <a href="https://meetings.cshl.edu/meetings.aspx?meet=NAISYS&amp;year=22" rel="nofollow" target="_blank">From Neuroscience to Artificially Intelligent Systems (NAISys)</a>, at Cold Spring Harbor. We discuss the conference itself, some history of the neuroscience and AI interface, their current research interests, and a handful of topics around evolution, innateness, development, learning, and the current and future prospects for using neuroscience to inspire new ideas in artificial intelligence. <ul><li><a href="https://meetings.cshl.edu/meetings.aspx?meet=NAISYS&amp;year=22" rel="nofollow" target="_blank">From Neuroscience to Artificially Intelligent Systems (NAISys)</a>.</li><li>Doris:<ul><li><a href="https://twitter.com/doristsao" rel="nofollow" target="_blank">@doristsao</a>.</li><li><a href="https://www.tsaolab.caltech.edu/" rel="nofollow" target="_blank">Tsao Lab</a>.</li><li><a href="https://www.nature.com/articles/s41467-021-26751-5.pdf" rel="nofollow" target="_blank">Unsupervised deep learning identifies semantic disentanglement in single inferotemporal face patch neurons</a>.</li></ul></li><li>Tony:<ul><li><a href="https://twitter.com/TonyZador" rel="nofollow" target="_blank">@TonyZador</a>.</li><li><a href="http://zadorlab.labsites.cshl.edu/" rel="nofollow" target="_blank">Zador Lab</a>.</li><li><a href="https://www.biorxiv.org/content/10.1101/582643v1" rel="nofollow" target="_blank">A Critique of Pure Learning: What Artificial Neural Networks can Learn from Animal Brains</a>.</li></ul></li><li>Blake:<ul><li><a href="https://twitter.com/tyrell_turing" rel="nofollow" target="_blank">@tyrell_turing</a>.</li><li><a href="https://sites.google.com/mila.quebec/linc-lab/home" rel="nofollow" target="_blank">The Learning in Neural Circuits Lab</a>.</li><li><a href="https://proceedings.neurips.cc/paper/2021/file/d384dec9f5f7a64a36b5c8f03b8a6d92-Paper.pdf" rel="nofollow" target="_blank">The functional specialization of visual cortex emerges from training parallel pathways with self-supervised predictive learning.</a></li></ul></li></ul> 0:00 - Intro 4:16 - Tony Zador 5:38 - Doris Tsao 10:44 - Blake Richards 15:46 - Deductive, inductive, abductive inference 16:32 - NAISys 33:09 - Evolution, development, learning 38:23 - Learning: plasticity vs. dynamical structures 54:13 - Different kinds of understanding 1:03:05 - Do we understand evolution well enough? 1:04:03 - Neuro-AI fad? 1:06:26 - Are your problems bigger or smaller now?

BI 125 Doris Tsao, Tony Zador, Blake Richards: NAISys