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Blind nonnegative source separation using biological neural networks

Blind nonnegative source separation using biological neural networks

1 June 2017
Cengiz Pehlevan
S. Mohan
D. Chklovskii
ArXivPDFHTML

Papers citing "Blind nonnegative source separation using biological neural networks"

5 / 5 papers shown
Title
Correlative Information Maximization: A Biologically Plausible Approach
  to Supervised Deep Neural Networks without Weight Symmetry
Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry
Bariscan Bozkurt
Cengiz Pehlevan
A. Erdogan
35
1
0
07 Jun 2023
Interneurons accelerate learning dynamics in recurrent neural networks
  for statistical adaptation
Interneurons accelerate learning dynamics in recurrent neural networks for statistical adaptation
David Lipshutz
Cengiz Pehlevan
D. Chklovskii
25
11
0
21 Sep 2022
Contrastive Similarity Matching for Supervised Learning
Contrastive Similarity Matching for Supervised Learning
Shanshan Qin
N. Mudur
Cengiz Pehlevan
SSL
DRL
16
1
0
24 Feb 2020
Neuroscience-inspired online unsupervised learning algorithms
Neuroscience-inspired online unsupervised learning algorithms
Cengiz Pehlevan
D. Chklovskii
22
54
0
05 Aug 2019
A Spiking Neural Network with Local Learning Rules Derived From
  Nonnegative Similarity Matching
A Spiking Neural Network with Local Learning Rules Derived From Nonnegative Similarity Matching
Cengiz Pehlevan
21
18
0
04 Feb 2019
1