Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1503.00669
Cited By
A Hebbian/Anti-Hebbian Neural Network for Linear Subspace Learning: A Derivation from Multidimensional Scaling of Streaming Data
2 March 2015
Cengiz Pehlevan
Tao Hu
D. Chklovskii
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"A Hebbian/Anti-Hebbian Neural Network for Linear Subspace Learning: A Derivation from Multidimensional Scaling of Streaming Data"
46 / 46 papers shown
Rethinking Hebbian Principle: Low-Dimensional Structural Projection for Unsupervised Learning
Shikuang Deng
Jiayuan Zhang
Yuhang Wu
Ting Chen
Shi Gu
226
0
0
16 Oct 2025
Curl Descent: Non-Gradient Learning Dynamics with Sign-Diverse Plasticity
Hugo Ninou
Jonathan Kadmon
N. Alex Cayco-Gajic
322
0
0
03 Oct 2025
Training Large Neural Networks With Low-Dimensional Error Feedback
Maher Hanut
Jonathan Kadmon
461
3
0
27 Feb 2025
Oja's plasticity rule overcomes several challenges of training neural networks under biological constraints
Navid Shervani-Tabar
Marzieh Alireza Mirhoseini
Robert Rosenbaum
AAML
AI4CE
433
1
0
15 Aug 2024
Correlations Are Ruining Your Gradient Descent
Nasir Ahmad
461
8
0
15 Jul 2024
Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks
Mingqing Xiao
Qingyan Meng
Zongpeng Zhang
D.K. He
Zhouchen Lin
CLL
427
17
0
19 Feb 2024
Neuronal Temporal Filters as Normal Mode Extractors
Siavash Golkar
Jules Berman
David Lipshutz
R. Haret
T. Gollisch
D. Chklovskii
135
2
0
06 Jan 2024
Training Convolutional Neural Networks with the Forward-Forward algorithm
Scientific Reports (Sci Rep), 2023
Riccardo Scodellaro
A. Kulkarni
Frauke Alves
Matthias Schröter
490
17
0
22 Dec 2023
Low Tensor Rank Learning of Neural Dynamics
Neural Information Processing Systems (NeurIPS), 2023
Arthur Pellegrino
Alex Cayco-Gajic
Angus Chadwick
331
14
0
22 Aug 2023
Duality Principle and Biologically Plausible Learning: Connecting the Representer Theorem and Hebbian Learning
Yanis Bahroun
D. Chklovskii
Anirvan M. Sengupta
290
1
0
02 Aug 2023
Synaptic Plasticity Models and Bio-Inspired Unsupervised Deep Learning: A Survey
Gabriele Lagani
Fabrizio Falchi
Claudio Gennaro
Giuseppe Amato
AAML
269
12
0
30 Jul 2023
Unsupervised 3D Object Learning through Neuron Activity aware Plasticity
International Conference on Learning Representations (ICLR), 2023
Beomseok Kang
Biswadeep Chakraborty
Saibal Mukhopadhyay
287
2
0
22 Feb 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
400
7
0
20 Feb 2023
An online algorithm for contrastive Principal Component Analysis
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Siavash Golkar
David Lipshutz
Tiberiu Teşileanu
D. Chklovskii
190
6
0
14 Nov 2022
Disentanglement with Biological Constraints: A Theory of Functional Cell Types
International Conference on Learning Representations (ICLR), 2022
James C. R. Whittington
W. Dorrell
Surya Ganguli
Timothy Edward John Behrens
399
71
0
30 Sep 2022
Kernel similarity matching with Hebbian neural networks
Kyle L. Luther
H. S. Seung
105
0
0
15 Apr 2022
Constrained Parameter Inference as a Principle for Learning
Nasir Ahmad
Ellen Schrader
Marcel van Gerven
507
13
0
22 Mar 2022
A Normative and Biologically Plausible Algorithm for Independent Component Analysis
Yanis Bahroun
D. Chklovskii
Anirvan M. Sengupta
188
12
0
17 Nov 2021
Neural optimal feedback control with local learning rules
Neural Information Processing Systems (NeurIPS), 2021
Johannes Friedrich
Siavash Golkar
Shiva Farashahi
A. Genkin
Anirvan M. Sengupta
D. Chklovskii
159
14
0
12 Nov 2021
Hebbian Semi-Supervised Learning in a Sample Efficiency Setting
Neural Networks (NN), 2021
Gabriele Lagani
Fabrizio Falchi
Claudio Gennaro
Giuseppe Amato
SSL
321
24
0
16 Mar 2021
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
133
6
0
10 Feb 2021
A Neural Network with Local Learning Rules for Minor Subspace Analysis
Yanis Bahroun
D. Chklovskii
136
1
0
10 Feb 2021
PyTorch-Hebbian: facilitating local learning in a deep learning framework
Jules Talloen
J. Dambre
Alexander Vandesompele
SSL
173
6
0
31 Jan 2021
Training Convolutional Neural Networks With Hebbian Principal Component Analysis
Gabriele Lagani
Giuseppe Amato
Fabrizio Falchi
Claudio Gennaro
121
5
0
22 Dec 2020
A biologically plausible neural network for multi-channel Canonical Correlation Analysis
Neural Computation (Neural Comput.), 2020
David Lipshutz
Yanis Bahroun
Siavash Golkar
Anirvan M. Sengupta
Dmitri B. Chkovskii
372
26
0
01 Oct 2020
ODE-Inspired Analysis for the Biological Version of Oja's Rule in Solving Streaming PCA
Annual Conference Computational Learning Theory (COLT), 2019
Chi-Ning Chou
Mien Brabeeba Wang
266
8
0
04 Nov 2019
Structured and Deep Similarity Matching via Structured and Deep Hebbian Networks
Neural Information Processing Systems (NeurIPS), 2019
D. Obeid
Hugo Ramambason
Cengiz Pehlevan
FedML
257
22
0
11 Oct 2019
A Neural Network for Semi-Supervised Learning on Manifolds
International Conference on Artificial Neural Networks (ICANN), 2019
A. Genkin
Anirvan M. Sengupta
D. Chklovskii
SSL
137
7
0
21 Aug 2019
Local Unsupervised Learning for Image Analysis
Leopold Grinberg
J. Hopfield
Dmitry Krotov
SSL
310
20
0
14 Aug 2019
Neuroscience-inspired online unsupervised learning algorithms
IEEE Signal Processing Magazine (IEEE SPM), 2019
Cengiz Pehlevan
D. Chklovskii
317
64
0
05 Aug 2019
A system of different layers of abstraction for artificial intelligence
Alexander Serb
T. Prodromakis
AI4CE
102
6
0
22 Jul 2019
A Spiking Neural Network with Local Learning Rules Derived From Nonnegative Similarity Matching
Cengiz Pehlevan
200
18
0
04 Feb 2019
Biologically Plausible Online Principal Component Analysis Without Recurrent Neural Dynamics
Victor Minden
Cengiz Pehlevan
D. Chklovskii
263
13
0
16 Oct 2018
Efficient Principal Subspace Projection of Streaming Data Through Fast Similarity Matching
Andrea Giovannucci
Victor Minden
Cengiz Pehlevan
D. Chklovskii
317
8
0
06 Aug 2018
Unsupervised Learning by Competing Hidden Units
Proceedings of the National Academy of Sciences of the United States of America (PNAS), 2018
Dmitry Krotov
J. Hopfield
SSL
346
179
0
26 Jun 2018
Self-adaptive node-based PCA encodings
Leonard Johard
V. Rivera
Manuel Mazzara
Jooyoung Lee
57
0
0
16 Jun 2017
Blind nonnegative source separation using biological neural networks
Neural Computation (Neural Comput.), 2017
Cengiz Pehlevan
S. Mohan
D. Chklovskii
219
39
0
01 Jun 2017
A correlation game for unsupervised learning yields computational interpretations of Hebbian excitation, anti-Hebbian inhibition, and synapse elimination
Sebastian Seung
J. Zung
150
17
0
03 Apr 2017
Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Artificial Neural Networks
Andrea Soltoggio
Kenneth O. Stanley
S. Risi
AI4CE
393
143
0
30 Mar 2017
Why do similarity matching objectives lead to Hebbian/anti-Hebbian networks?
Cengiz Pehlevan
Anirvan M. Sengupta
D. Chklovskii
228
84
0
23 Mar 2017
Self-calibrating Neural Networks for Dimensionality Reduction
Yuansi Chen
Cengiz Pehlevan
D. Chklovskii
92
1
0
11 Dec 2016
Dimensionality-Dependent Generalization Bounds for
k
k
k
-Dimensional Coding Schemes
Tongliang Liu
Dacheng Tao
Dong Xu
439
57
0
03 Jan 2016
Optimization theory of Hebbian/anti-Hebbian networks for PCA and whitening
Cengiz Pehlevan
D. Chklovskii
139
17
0
30 Nov 2015
A Normative Theory of Adaptive Dimensionality Reduction in Neural Networks
Cengiz Pehlevan
D. Chklovskii
171
54
0
30 Nov 2015
A Hebbian/Anti-Hebbian Network for Online Sparse Dictionary Learning Derived from Symmetric Matrix Factorization
Tao Hu
Cengiz Pehlevan
D. Chklovskii
276
35
0
02 Mar 2015
A Hebbian/Anti-Hebbian Network Derived from Online Non-Negative Matrix Factorization Can Cluster and Discover Sparse Features
Cengiz Pehlevan
D. Chklovskii
148
45
0
02 Mar 2015
1
Page 1 of 1
