
Divisive normalization is an efficient code for multivariate Pareto-distributed environments
Author(s) -
Stefan Bucher,
Adam Brandenburger
Publication year - 2022
Publication title -
proceedings of the national academy of sciences of the united states of america
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.011
H-Index - 771
eISSN - 1091-6490
pISSN - 0027-8424
DOI - 10.1073/pnas.2120581119
Subject(s) - normalization (sociology) , pareto principle , computer science , multivariate statistics , computation , histogram , algorithm , pattern recognition (psychology) , mathematics , artificial intelligence , statistics , machine learning , sociology , anthropology , image (mathematics)