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A Similarity-preserving Neural Network Trained on Transformed Images Recapitulates Salient Features of the Fly Motion Detection Circuit


Feb 10, 2021
Yanis Bahroun, Anirvan M. Sengupta, Dmitri B. Chklovskii

* Body and supplementary materials of NeurIPS 2019 paper 

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A Neural Network with Local Learning Rules for Minor Subspace Analysis


Feb 10, 2021
Yanis Bahroun, Dmitri B. Chklovskii


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A biologically plausible neural network for local supervision in cortical microcircuits


Nov 30, 2020
Siavash Golkar, David Lipshutz, Yanis Bahroun, Anirvan M. Sengupta, Dmitri B. Chklovskii

* Abstract presented at the NeurIPS 2020 workshop "Beyond Backpropagation". arXiv admin note: text overlap with arXiv:2010.12660 

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A simple normative network approximates local non-Hebbian learning in the cortex


Oct 23, 2020
Siavash Golkar, David Lipshutz, Yanis Bahroun, Anirvan M. Sengupta, Dmitri B. Chklovskii

* Body and supplementary materials of NeurIPS 2020 paper. 19 pages, 7 figures 

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A biologically plausible neural network for Slow Feature Analysis


Oct 23, 2020
David Lipshutz, Charlie Windolf, Siavash Golkar, Dmitri B. Chklovskii

* 17 pages, 7 figures 

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Bio-NICA: A biologically inspired single-layer network for Nonnegative Independent Component Analysis


Oct 23, 2020
David Lipshutz, Dmitri B. Chklovskii

* 5 pages, 4 figures 

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Neuroscience-inspired online unsupervised learning algorithms


Sep 06, 2019
Cengiz Pehlevan, Dmitri B. Chklovskii

* Accepted for publication in IEEE Signal Processing Magazine 

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Efficient Principal Subspace Projection of Streaming Data Through Fast Similarity Matching


Aug 06, 2018
Andrea Giovannucci, Victor Minden, Cengiz Pehlevan, Dmitri B. Chklovskii

* 9 pages, 4 figures 

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Why do similarity matching objectives lead to Hebbian/anti-Hebbian networks?


Jul 11, 2017
Cengiz Pehlevan, Anirvan Sengupta, Dmitri B. Chklovskii

* Accepted for publication in Neural Computation 

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Blind nonnegative source separation using biological neural networks


Jun 01, 2017
Cengiz Pehlevan, Sreyas Mohan, Dmitri B. Chklovskii

* Accepted for publication in Neural Computation 

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Self-calibrating Neural Networks for Dimensionality Reduction


Dec 11, 2016
Yuansi Chen, Cengiz Pehlevan, Dmitri B. Chklovskii

* 2016 Asilomar Conference on Signals, Systems and Computers 

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A Normative Theory of Adaptive Dimensionality Reduction in Neural Networks


Jan 26, 2016
Cengiz Pehlevan, Dmitri B. Chklovskii

* Advances in Neural Information Processing Systems (NIPS), 2015 

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Optimization theory of Hebbian/anti-Hebbian networks for PCA and whitening


Nov 30, 2015
Cengiz Pehlevan, Dmitri B. Chklovskii

* Annual Allerton Conference on Communication, Control, and Computing (Allerton) 2015 

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A Hebbian/Anti-Hebbian Network for Online Sparse Dictionary Learning Derived from Symmetric Matrix Factorization


Nov 30, 2015
Tao Hu, Cengiz Pehlevan, Dmitri B. Chklovskii

* 2014 Asilomar Conference on Signals, Systems and Computers. v2: fixed a typo in equation 23 

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A Hebbian/Anti-Hebbian Network Derived from Online Non-Negative Matrix Factorization Can Cluster and Discover Sparse Features


Mar 02, 2015
Cengiz Pehlevan, Dmitri B. Chklovskii

* 2014 Asilomar Conference on Signals, Systems and Computers 

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A Hebbian/Anti-Hebbian Neural Network for Linear Subspace Learning: A Derivation from Multidimensional Scaling of Streaming Data


Mar 02, 2015
Cengiz Pehlevan, Tao Hu, Dmitri B. Chklovskii

* Accepted for publication in Neural Computation 

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A Neuron as a Signal Processing Device


May 12, 2014
Tao Hu, Zaid J. Towfic, Cengiz Pehlevan, Alex Genkin, Dmitri B. Chklovskii

* 2013 Asilomar Conference on Signals, Systems and Computers, see http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6810296 

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Machine learning of hierarchical clustering to segment 2D and 3D images


Jul 23, 2013
Juan Nunez-Iglesias, Ryan Kennedy, Toufiq Parag, Jianbo Shi, Dmitri B. Chklovskii

* PLoS ONE, 2013, 8(8): e71715 
* 15 pages, 8 figures 

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Online computation of sparse representations of time varying stimuli using a biologically motivated neural network


Oct 13, 2012
Tao Hu, Dmitri B. Chklovskii

* 9 pages, 5 figures 

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A network of spiking neurons for computing sparse representations in an energy efficient way


Oct 04, 2012
Tao Hu, Alexander Genkin, Dmitri B. Chklovskii

* 5 figures Early Access: http://www.mitpressjournals.org/doi/abs/10.1162/NECO_a_00353 

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Sparse LMS via Online Linearized Bregman Iteration


Oct 01, 2012
Tao Hu, Dmitri B. Chklovskii

* 11 pages, 6 figures, 1 table 

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Ocular dominance patterns in mammalian visual cortex: A wire length minimization approach


Jun 14, 1999
Dmitri B. Chklovskii, Alexei A. Koulakov

* 9 pages, submitted to Journal of Neuroscience 

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