The visual system is composed of neurons embedded in detailed topographic maps. Although the past few years have seen huge advances in our ability to predict the activity of neurons in these maps with deep neural networks, models of the structure of the maps themselves is lacking. I'm using deep convolutional neural networks to better understand 1) the role of this functional architecture and 2) how it might develop in the brain.
Read our paper: A unifying framework for functional organization in early and higher ventral visual cortex
Margalit, E., Lee, H., Finzi, D., DiCarlo, J. J., Grill-Spector, K., & Yamins, D. L. (2024). A unifying framework for functional organization in early and higher ventral visual cortex. Neuron.
COSYNE Poster
Read the preprint
Margalit, E., Lee, H., Finzi, D., Dicarlo, J.J., Grill-Spector, K., and Yamins, D.L.K. (2023). A Unifying Principle for the Functional Organization of Visual Cortex. bioRxiv doi: 10.1101/2023.05.18.541361
Read our earlier preprint
Lee, H., Margalit, E., Jozwik, K. M., Cohen, M. A., Kanwisher, N., Yamins, D. L., & DiCarlo, J. J. (2020). Topographic deep artificial neural networks reproduce the hallmarks of the primate inferior temporal cortex face processing network. bioRxiv.