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A normative framework for deriving neural networks with multi-compartmental neurons and non-Hebbian plasticity


Feb 20, 2023
David Lipshutz, Yanis Bahroun, Siavash Golkar, Anirvan M. Sengupta, Dmitri B. Chklovskii

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Statistical whitening of neural populations with gain-modulating interneurons


Jan 27, 2023
Lyndon R. Duong, David Lipshutz, David J. Heeger, Dmitri B. Chklovskii, Eero P. Simoncelli

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An online algorithm for contrastive Principal Component Analysis


Nov 14, 2022
Siavash Golkar, David Lipshutz, Tiberiu Tesileanu, Dmitri B. Chklovskii

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* 5 pages, 4 figures 

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Interneurons accelerate learning dynamics in recurrent neural networks for statistical adaptation


Sep 21, 2022
David Lipshutz, Cengiz Pehlevan, Dmitri B. Chklovskii

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* 16 pages, 5 figures 

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Bridging the Gap: Point Clouds for Merging Neurons in Connectomics


Dec 10, 2021
Jules Berman, Dmitri B. Chklovskii, Jingpeng Wu

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* 10 pages, 6 figures, MIDL 2022 

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Neural optimal feedback control with local learning rules


Nov 12, 2021
Johannes Friedrich, Siavash Golkar, Shiva Farashahi, Alexander Genkin, Anirvan M. Sengupta, Dmitri B. Chklovskii

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* Manuscript and supplementary material of NeurIPS 2021 paper 

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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

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* 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

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

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