Pooling in a predictive model of V1 explains functional and structural diversity across species
Presenting my poster tonight at 8:00p #cosyne2020, a work developed using Sparse Deep Predictive Coding (SDPC) during my PhD @laurentperrinet @NeuroSchool_mrs pic.twitter.com/LtUEBnlPNt— AF (@Angelo_RDN) February 28, 2020
This is from:— Yann LeCun (@ylecun) April 21, 2021
Koray Kavukcuoglu, Marc'Aurelio Ranzato, Rob Fergus and Yann LeCun: Learning Invariant Features through Topographic Filter Maps, Proc. International Conference on Computer Vision and Pattern Recognition (CVPR'09), IEEE, 2009 pic.twitter.com/4gH6L3dmaJ
- In this talk, I will present the following paper :
Pooling in a predictive model of V1 explains functional and structural diversity across species. PLoS Computational Biology.(2022).
- see a follow-up in:
- more about the role of top-down connections:
Effect of top-down connections in Hierarchical Sparse Coding. Neural Computation.(2020).