BI 011 Grace Lindsay: Visual Attention in CNNs

Brain Inspired

Sep 27 2018 | 00:50:30

00:00 / 00:50:30

Show Notes

Mentioned in the show:

The paper we discuss: How biological attention mechanisms improve task performance in a large-scale visual system model.
Follow Grace on Twitter: @neurograce.
She co-hosts the AI/Neuroscience/Science podcast, Unsupervised Thinking.
Her excellent blog Neurdiness.
- The CNN blog post I highly recommend for a deeper dive: Deep Convolutional Neural Networks as Models of the Visual System: Q&A.
Or listen to my interview with Dan Yamins.
The podcast that inspired Grace’s Unsupervised Thinking podcast: Partially Examined Life.
The (famous) Cocktail Party Effect.
3 excellent books by Yuval Noah Harari (whose name I mar) I mention in passing:

Other Episodes

Episode 0

January 18, 2021 • 01:25:28

BI 095 Chris Summerfield and Sam Gershman: Neuro for AI?

It’s generally agreed machine learning and AI provide neuroscience with tools for analysis and theoretical principles to test in brains, but there is less...

Episode 0

August 28, 2019 • 01:16:52

BI 045 Raia Hadsell: Robotics and Deep RL

Support the Podcast Show notes: Raia and I discuss her work at DeepMind figuring out how to build robots using deep reinforcement learning to...

Episode 0

May 08, 2019 • 01:18:36

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

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...