Courant Inst. of Mathematical Sciences; Center for Neural Science, New York University; Center for Computational Neuroscience, Flatiron Institute
Thomas Yerxa, Yilun Kuang, Eero Simoncelli, SueYeon Chung
computational neuroscience;theoretical neuroscience;efficient coding;representation geometry;neural manifolds;self-supervised learning;statistical physics of learning
Learning Efficient Coding of Natural Images with Maximum Manifold Capacity Representations