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A Normative and Biologically Plausible Algorithm for Independent Component Analysis
17 November 2021
Yanis Bahroun
D. Chklovskii
Anirvan M. Sengupta
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Papers citing
"A Normative and Biologically Plausible Algorithm for Independent Component Analysis"
10 / 10 papers shown
Title
A Similarity-preserving Neural Network Trained on Transformed Images Recapitulates Salient Features of the Fly Motion Detection Circuit
Yanis Bahroun
Anirvan M. Sengupta
D. Chklovskii
20
6
0
10 Feb 2021
A Neural Network with Local Learning Rules for Minor Subspace Analysis
Yanis Bahroun
D. Chklovskii
35
1
0
10 Feb 2021
A biologically plausible neural network for multi-channel Canonical Correlation Analysis
David Lipshutz
Yanis Bahroun
Siavash Golkar
Anirvan M. Sengupta
Dmitri B. Chkovskii
33
23
0
01 Oct 2020
Blind Bounded Source Separation Using Neural Networks with Local Learning Rules
A. Erdogan
Cengiz Pehlevan
BDL
21
4
0
11 Apr 2020
Neuroscience-inspired online unsupervised learning algorithms
Cengiz Pehlevan
D. Chklovskii
80
55
0
05 Aug 2019
A Spiking Neural Network with Local Learning Rules Derived From Nonnegative Similarity Matching
Cengiz Pehlevan
60
18
0
04 Feb 2019
Dendritic cortical microcircuits approximate the backpropagation algorithm
João Sacramento
Rui Ponte Costa
Yoshua Bengio
Walter Senn
86
313
0
26 Oct 2018
Nonlinear ICA Using Auxiliary Variables and Generalized Contrastive Learning
Aapo Hyvarinen
Hiroaki Sasaki
Richard Turner
OOD
CML
100
331
0
22 May 2018
Learning Independent Features with Adversarial Nets for Non-linear ICA
Philemon Brakel
Yoshua Bengio
OOD
CML
74
94
0
13 Oct 2017
A Hebbian/Anti-Hebbian Network Derived from Online Non-Negative Matrix Factorization Can Cluster and Discover Sparse Features
Cengiz Pehlevan
D. Chklovskii
77
45
0
02 Mar 2015
1