Dmitri B. Chklovskii

According to our database1, Dmitri B. Chklovskii authored at least 45 papers between 1999 and 2019.

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Bibliography

2019
Strip the Stripes: Artifact Detection and Removal for Scanning Electron Microscopy Imaging.
Proceedings of the IEEE International Conference on Acoustics, 2019

A Neural Network for Semi-supervised Learning on Manifolds.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

2018
Why Do Similarity Matching Objectives Lead to Hebbian/Anti-Hebbian Networks?
Neural Computation, 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, 2018

Biologically Plausible Online Principal Component Analysis Without Recurrent Neural Dynamics.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017
Blind Nonnegative Source Separation Using Biological Neural Networks.
Neural Computation, 2017

OnACID: Online Analysis of Calcium Imaging Data in Real Time.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

A clustering neural network model of insect olfaction.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
Self-calibrating neural networks for dimensionality reduction.
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
Automatic Adaptation to Fast Input Changes in a Time-Invariant Neural Circuit.
PLoS Computational Biology, 2015

A Hebbian/Anti-Hebbian Neural Network for Linear Subspace Learning: A Derivation from Multidimensional Scaling of Streaming Data.
Neural Computation, 2015

A Normative Theory of Adaptive Dimensionality Reduction in Neural Networks.
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

Optimization theory of Hebbian/anti-Hebbian networks for PCA and whitening.
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2014
Drosophila Connectome.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Sparse LMS via online linearized Bregman iteration.
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. Med. Imaging, 2013

Tracking multiple neurons on worm images.
Proceedings of the Medical Imaging 2013: Image Processing, 2013

A neuron as a signal processing device.
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 Computation, 2012

A lattice filter model of the visual pathway.
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".
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

2011
Structural Properties of the Caenorhabditis elegans Neuronal Network.
PLoS Computational Biology, 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
Reconstruction of Sparse Circuits Using Multi-neuronal Excitation (RESCUME).
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
What can brain researchers learn from computer engineers and vice versa?
Proceedings of the 2008 International Conference on Computer-Aided Design, 2008

2006
Placement and routing optimization in the brain.
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 Computational Biology, 2005

2004
Exact Solution for the Optimal Neuronal Layout Problem.
Neural Computation, 2004

Are spatial positions of dendritic and axonal branches correlated or independent?
Neurocomputing, 2004

Biophysical constraints on neuronal branching.
Neurocomputing, 2004

Evolution as the blind engineer: wiring minimization in the brain.
Proceedings of the Sixth International Workshop on System-Level Interconnect Prediction (SLIP 2004), 2004

2002
Information storage capacity of synaptic connectivity patterns.
Neurocomputing, 2002

Direction of motion maps in the visual cortex: a wire length minimization approach.
Neurocomputing, 2002

Branching Law for Axons.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

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

Optimal Sizes of Dendritic and Axonal Arbors.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999


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