Dmitri B. Chklovskii

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


According to our database1, Dmitri B. Chklovskii authored at least 83 papers between 1999 and 2024.

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Bibliography

2024
Neuronal Temporal Filters as Normal Mode Extractors.
CoRR, 2024

The Neuron as a Direct Data-Driven Controller.
CoRR, 2024

2023
A linear discriminant analysis model of imbalanced associative learning in the mushroom body compartment.
PLoS Comput. Biol., February, 2023

Duality Principle and Biologically Plausible Learning: Connecting the Representer Theorem and Hebbian Learning.
CoRR, 2023

Unlocking the Potential of Similarity Matching: Scalability, Supervision and Pre-training.
CoRR, 2023

A normative framework for deriving neural networks with multi-compartmental neurons and non-Hebbian plasticity.
CoRR, 2023

An Out-of-Domain Synapse Detection Challenge for Microwasp Brain Connectomes.
CoRR, 2023

Statistical whitening of neural populations with gain-modulating interneurons.
CoRR, 2023

Adaptive whitening with fast gain modulation and slow synaptic plasticity.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Adaptive Whitening in Neural Populations with Gain-modulating Interneurons.
Proceedings of the International Conference on Machine Learning, 2023

Interneurons accelerate learning dynamics in recurrent neural networks for statistical adaptation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

An Online Algorithm for Contrastive Principal Component Analysis.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Neural Circuits for Dynamics-Based Segmentation of Time Series.
Neural Comput., 2022

Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution.
CoRR, 2022

Biologically plausible single-layer networks for nonnegative independent component analysis.
Biol. Cybern., 2022

Constrained Predictive Coding as a Biologically Plausible Model of the Cortical Hierarchy.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Biological Learning of Irreducible Representations of Commuting Transformations.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Bridging the Gap: Point Clouds for Merging Neurons in Connectomics.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

2021
A Biologically Plausible Neural Network for Multichannel Canonical Correlation Analysis.
Neural Comput., 2021

A Similarity-preserving Neural Network Trained on Transformed Images Recapitulates Salient Features of the Fly Motion Detection Circuit.
CoRR, 2021

A Neural Network with Local Learning Rules for Minor Subspace Analysis.
CoRR, 2021

Neural optimal feedback control with local learning rules.
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
Neurons as Canonical Correlation Analyzers.
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

A Biologically Plausible Neural Network for Slow Feature Analysis.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

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

Neuroscience-inspired online unsupervised learning algorithms.
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

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

The surprising secret identity of the semidefinite relaxation of K-means: manifold learning.
CoRR, 2017

Adversarial synapses: Hebbian/anti-Hebbian learning optimizes min-max objectives.
CoRR, 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 Comput. Biol., 2015

A Hebbian/Anti-Hebbian Neural Network for Linear Subspace Learning: A Derivation from Multidimensional Scaling of Streaming Data.
Neural Comput., 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. Medical Imaging, 2013

Machine learning of hierarchical clustering to segment n-dimensional images
CoRR, 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 Comput., 2012

Reconstruction of Sparse Circuits Using Multi-neuronal Excitation (RESCUME)
CoRR, 2012

Super-resolution using Sparse Representations over Learned Dictionaries: Reconstruction of Brain Structure using Electron Microscopy.
CoRR, 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 <i>Caenorhabditis elegans</i> Neuronal Network.
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
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 Comput. Biol., 2005

2004
Exact Solution for the Optimal Neuronal Layout Problem.
Neural Comput., 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
Ocular dominance patterns in mammalian visual cortex: A wire length minimization approach
CoRR, 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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