# Dmitri B. Chklovskii

Affiliations:- Simons Foundation
- Howard Hughes Medical Institute, Janelia Farm Research Campus
- Cold Spring Harbor Laboratory

According to our database

Collaborative distances:

^{1}, Dmitri B. Chklovskii authored at least 68 papers between 1999 and 2022.Collaborative distances:

## Timeline

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Book In proceedings Article PhD thesis Other## Links

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## Bibliography

2022

Neural Comput., 2022

Interneurons accelerate learning dynamics in recurrent neural networks for statistical adaptation.

CoRR, 2022

2021

A Biologically Plausible Neural Network for Multichannel Canonical Correlation Analysis.

Neural Comput., 2021

CoRR, 2021

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

CoRR, 2021

CoRR, 2021

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Normative and Biologically Plausible Algorithm for Independent Component Analysis.

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Frontiers Comput. Neurosci., 2020

A biologically plausible neural network for local supervision in cortical microcircuits.

CoRR, 2020

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

CoRR, 2020

A biologically plausible neural network for multi-channel Canonical Correlation Analysis.

CoRR, 2020

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Neuroscience-Inspired Online Unsupervised Learning Algorithms: Artificial neural networks.

IEEE Signal Process. Mag., 2019

CoRR, 2019

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

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Strip the Stripes: Artifact Detection and Removal for Scanning Electron Microscopy Imaging.

Proceedings of the IEEE International Conference on Acoustics, 2019

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

2018

Neural Comput., 2018

Clustering is semidefinitely not that hard: Nonnegative SDP for manifold disentangling.

J. Mach. Learn. Res., 2018

Manifold-tiling Localized Receptive Fields are Optimal in Similarity-preserving Neural Networks.

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Efficient Principal Subspace Projection of Streaming Data Through Fast Similarity Matching.

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Biologically Plausible Online Principal Component Analysis Without Recurrent Neural Dynamics.

Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017

Neural Comput., 2017

The surprising secret identity of the semidefinite relaxation of K-means: manifold learning.

CoRR, 2017

CoRR, 2017

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

Do retinal ganglion cells project natural scenes to their principal subspace and whiten them?

Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015

PLoS Comput. Biol., 2015

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

Neural Comput., 2015

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

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

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2014

Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Proceedings of the IEEE International Conference on Acoustics, 2014

A Hebbian/Anti-Hebbian network derived from online non-negative matrix factorization can cluster and discover sparse features.

Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

A Hebbian/Anti-Hebbian network for online sparse dictionary learning derived from symmetric matrix factorization.

Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013

Electron Microscopy Reconstruction of Brain Structure Using Sparse Representations Over Learned Dictionaries.

IEEE Trans. Medical Imaging, 2013

CoRR, 2013

Proceedings of the Medical Imaging 2013: Image Processing, 2013

Proceedings of the 2013 Asilomar Conference on Signals, 2013

2012

A Network of Spiking Neurons for Computing Sparse Representations in an Energy-Efficient Way.

Neural Comput., 2012

CoRR, 2012

Super-resolution using Sparse Representations over Learned Dictionaries: Reconstruction of Brain Structure using Electron Microscopy.

CoRR, 2012

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

A mechanistic model of early sensory processing based on subtracting sparse representations.

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

"Neuronal spike generation mechanism as an oversampling, noise-shaping A-to-D converter".

2011

PLoS Comput. Biol., 2011

High Resolution Segmentation of Neuronal Tissues from Low Depth-Resolution EM Imagery.

Proceedings of the Energy Minimazation Methods in Computer Vision and Pattern Recognition, 2011

2010

Over-complete representations on recurrent neural networks can support persistent percepts.

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Increasing depth resolution of electron microscopy of neural circuits using sparse tomographic reconstruction.

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2008

Proceedings of the 2008 International Conference on Computer-Aided Design, 2008

2006

Proceedings of the 2006 International Symposium on Physical Design, 2006

2005

Segregation of the Brain into Gray and White Matter: A Design Minimizing Conduction Delays.

PLoS Comput. Biol., 2005

2004

Neural Comput., 2004

Neurocomputing, 2004

Neurocomputing, 2004

Proceedings of the Sixth International Workshop on System-Level Interconnect Prediction (SLIP 2004), 2004

2002

Neurocomputing, 2002

Direction of motion maps in the visual cortex: a wire length minimization approach.

Neurocomputing, 2002

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

1999

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

CoRR, 1999

Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999