Pooling in a predictive model of V1 explains functional and structural diversity across species

This is from:
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

— Yann LeCun (@ylecun) April 21, 2021

• In this talk, I will present the following paper :
  Victor Boutin, Angelo Franciosini, Frédéric Chavane, Laurent U Perrinet (2022). Pooling in a predictive model of V1 explains functional and structural diversity across species. PLoS Computational Biology.

  Cite DOI URL bioRxiv

• see a follow-up in:
  Victor Boutin, Angelo Franciosini, Frédéric Chavane, Franck Ruffier, Laurent U Perrinet (2021). Sparse Deep Predictive Coding captures contour integration capabilities of the early visual system. PLoS Computational Biology.

  PDF Cite DOI Code URL arXiv

• more about the role of top-down connections:
  Victor Boutin, Angelo Franciosini, Franck Ruffier, Laurent U Perrinet (2020). Effect of top-down connections in Hierarchical Sparse Coding. Neural Computation.

  PDF Cite DOI URL arXiv