Tony Zador's guest appearances

Tony Zador

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

Doris Tsao

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

Show notes: Tony’s lab site, where there are links to his auditory decision making work and connectome work we discuss. Here are a few talks online about that: Corticostriatal circuits underlying auditory decisions.Can we upload our mind to the cloud?. Follow Tony on Twitter: @TonyZador The paper we discuss: A Critique of Pure Learning: What Artificial Neural Networks can Learn from Animal Brains. Conferences we talk about: COSYNE conference. Neural Information and Coding workshops. Neural Information Processing conference. 

Show notes: <ul><li>Tony’s <a href="http://zadorlab.cshl.edu/" rel="nofollow" target="_blank">lab site</a>, where there are links to his auditory decision making work and connectome work we discuss. </li><li>Here are a few talks online about that: <ul><li><a href="https://www.youtube.com/watch?v=OMGBSGiKoes" rel="nofollow" target="_blank">Corticostriatal circuits underlying auditory decisions</a>. </li><li><a href="https://www.youtube.com/watch?v=GGQ3vhdcSLs%0A" rel="nofollow" target="_blank">Can we upload our mind to the cloud?</a>. </li></ul></li><li>Follow Tony on Twitter: <a href="https://twitter.com/TonyZador" rel="nofollow" target="_blank">@TonyZador</a> </li><li>The paper we discuss: <ul><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>Conferences we talk about: <ul><li><a href="http://www.cosyne.org/c/index.php?title=Cosyne_19" rel="nofollow" target="_blank">COSYNE conference</a>. </li><li><a href="http://zadorlab.cshl.edu/NIC.html" rel="nofollow" target="_blank">Neural Information and Coding workshops</a>. </li><li><a href="https://nips.cc/" rel="nofollow" target="_blank">Neural Information Processing conference</a>. </li></ul></li></ul>

BI 034 Tony Zador: How DNA and Evolution Can Inform AI