Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry

7 June 2023

Papers citing "Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry"

4 / 4 papers shown

Title
Biologically-Motivated Learning Model for Instructed Visual Processing R. Abel S. Ullman 25 0 0 04 Jun 2023
Correlative Information Maximization Based Biologically Plausible Neural Networks for Correlated Source Separation Bariscan Bozkurt Ates Isfendiyaroglu Cengiz Pehlevan A. Erdogan 21 1 0 09 Oct 2022
Disentanglement with Biological Constraints: A Theory of Functional Cell Types James C. R. Whittington W. Dorrell Surya Ganguli Timothy Edward John Behrens 47 48 0 30 Sep 2022
Polytopic Matrix Factorization: Determinant Maximization Based Criterion and Identifiability Gokcan Tatli A. Erdogan 26 16 0 19 Feb 2022