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:
Check out my free video series about what's missing in AI and Neuroscience Support the show to get full episodes and join the Discord...
Mentioned in the show The two papers we discuss: The Roles of Supervised Machine Learning in Systems Neuroscience Machine learning for neural decoding Kording...
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...