A Normative and Biologically Plausible Algorithm for Independent Component Analysis

17 November 2021

Papers citing "A Normative and Biologically Plausible Algorithm for Independent Component Analysis"

8 / 8 papers shown

Title
Duality Principle and Biologically Plausible Learning: Connecting the Representer Theorem and Hebbian Learning Yanis Bahroun D. Chklovskii Anirvan M. Sengupta 16 0 0 02 Aug 2023
Normative framework for deriving neural networks with multi-compartmental neurons and non-Hebbian plasticity David Lipshutz Yanis Bahroun Siavash Golkar Anirvan M. Sengupta D. Chklovskii 19 4 0 20 Feb 2023
Correlative Information Maximization Based Biologically Plausible Neural Networks for Correlated Source Separation Bariscan Bozkurt Ates Isfendiyaroglu C. Pehlevan A. Erdogan 19 1 0 09 Oct 2022
Biologically-Plausible Determinant Maximization Neural Networks for Blind Separation of Correlated Sources Bariscan Bozkurt C. Pehlevan A. Erdogan 19 7 0 27 Sep 2022
Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules Yuhan Helena Liu Arna Ghosh Blake A. Richards E. Shea-Brown Guillaume Lajoie 26 9 0 02 Jun 2022
Modeling the Repetition-based Recovering of Acoustic and Visual Sources with Dendritic Neurons Giorgia Dellaferrera Toshitake Asabuki T. Fukai 16 0 0 16 Jan 2022
A biologically plausible neural network for Slow Feature Analysis David Lipshutz Charlie Windolf Siavash Golkar D. Chklovskii 23 16 0 23 Oct 2020
Biologically plausible single-layer networks for nonnegative independent component analysis David Lipshutz C. Pehlevan D. Chklovskii 23 11 0 23 Oct 2020