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

September 07, 2018 • 00:53:34

BI 008 Joshua Glaser: Supervised ML for Neuroscience

Mentioned in the show The two papers we discuss: The Roles of Supervised Machine Learning in Systems Neuroscience Machine learning for neural decoding Kording...

Episode 0

September 15, 2020 • 01:56:01

BI 084 György Buzsáki and David Poeppel

David, Gyuri, and I discuss the issues they argue for in their back and forth commentaries about the importance of neuroscience and psychology, or...

Episode 0

April 12, 2019 • 01:44:47

BI 031 Francisco de Sousa Webber: Natural Language Understanding

Businessportrait Francisco Webber Cortical.ioThe white paper we discuss: Semantic Folding Theory And its Application in Semantic Fingerprinting. A nice talk Francisco gave: Semantic fingerprinting:...