
Talia and I discuss her work on how our visual system is organized topographically, and divides into three main categories: big inanimate things, small inanimate things, and animals. Her work is unique in that it focuses not on the classic hierarchical processing of vision (though she does that, too), but what kinds of things are represented along that hierarchy. She also uses deep networks to learn more about the visual system. We also talk about her keynote talk at the Cognitive Computational Neuroscience conference and plenty more.
Show notes:
Support the show to get full episodes and join the Discord community. James, Andrew, and Weinan discuss their recent theory about how the brain...
Show notes: Ryota founded the company Araya. Follow him on twitter: @kanair. Integrated Information Theory. Pansychism. The paper we discuss: A unified strategy for...
Mentioned in the show: Dan’s Stanford Neuroscience and Artificial Intelligence Laboratory: The 2 papers we discuss Performance-optimized hierarchical models predict neural responses in higher...