Daniel D. Lee

Sparse Prototype Code Underlies Classification and Prediction Across Modalities

An analytical mean-field theory governed mainly by the variability along true-class and rival-class centroid coordinates, together with a global renormalization of the class radius that compensates for the non-Gaussian statistics of real representations is derived.