Dmitri B. Chklovskii

发表

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

Siavash Golkar, David Lipshutz, Yanis Bahroun, 2020, NeurIPS.

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

Yanis Bahroun, Anirvan M. Sengupta, Dmitri B. Chklovskii, 2021, ArXiv.

Reconstruction of Sparse Circuits Using Multi-neuronal Excitation (RESCUME) pdf

Dmitri B. Chklovskii, Tao Hu, Anthony M. Leonardo, 2009, NIPS.

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

Siavash Golkar, Yanis Bahroun, Anirvan M. Sengupta, 2020, ArXiv.

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

Dmitri B. Chklovskii, Alexei A. Koulakov, D. Chklovskii, 1999, ArXiv.

Optimal Sizes of Dendritic and Axonal Arbors

Dmitri B. Chklovskii, D. Chklovskii, 1999, NIPS.

A biologically plausible neural network for Slow Feature Analysis pdf

Siavash Golkar, David Lipshutz, Dmitri B. Chklovskii, 2020, NeurIPS.

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

Tao Hu, Shan Xu, Dmitri B. Chklovskii, 2012, ArXiv.

What can brain researchers learn from computer engineers and vice versa?

Dmitri B. Chklovskii, 2008, ICCAD '08.

Author response: CaImAn an open source tool for scalable calcium imaging data analysis

Pengcheng Zhou, Andrea Giovannucci, Dmitri B. Chklovskii, 2018 .

Tracking multiple neurons on worm images

Dmitri B. Chklovskii, Toufiq Parag, Victoria Butler, 2013, Medical Imaging.

Structural Properties of the Caenorhabditis elegans Neuronal Network

Lav R. Varshney, Dmitri B. Chklovskii, David H. Hall, 2009, PLoS Comput. Biol..

Branching Law for Axons

Dmitri B. Chklovskii, Armen Stepanyants, D. Chklovskii, 2003, NIPS.

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

David Lipshutz, Dmitri B. Chklovskii, D. Chklovskii, 2020, ArXiv.

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

Anirvan M. Sengupta, Dmitri B. Chklovskii, Mariano Tepper, 2018, bioRxiv.

Information storage capacity of synaptic connectivity patterns

Dmitri B. Chklovskii, Armen Stepanyants, Patrick R. Hof, 2002, Neurocomputing.

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

Dmitri B. Chklovskii, Alexei A. Koulakov, D. Chklovskii, 2002, Neurocomputing.

Self-calibrating neural networks for dimensionality reduction

Dmitri B. Chklovskii, Cengiz Pehlevan, Yuansi Chen, 2016, 2016 50th Asilomar Conference on Signals, Systems and Computers.

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

Tao Hu, Dmitri B. Chklovskii, Shaul Druckmann, 2012, NIPS.

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

Dmitri B. Chklovskii, Armen Stepanyants, Gábor Tamás, 2004, Neurocomputing.

Biophysical Constraints on Neuronal Branching

Amir Harel, Amir Ayali, Dmitri B. Chklovskii, 2003, Neurocomputing.

Biologically Plausible Online Principal Component Analysis Without Recurrent Neural Dynamics

Dmitri B. Chklovskii, Cengiz Pehlevan, Victor Minden, 2018, 2018 52nd Asilomar Conference on Signals, Systems, and Computers.

Placement and routing optimization in the brain

Dmitri B. Chklovskii, Beth L. Chen, D. Chklovskii, 2006, ISPD '06.

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

Tao Hu, Dmitri B. Chklovskii, Cengiz Pehlevan, 2015, Neural Computation.

Neurons as Canonical Correlation Analyzers

Anirvan M. Sengupta, Dmitri B. Chklovskii, Xinyuan Zhao, 2020, Frontiers in Computational Neuroscience.

CalmAn: An open source tool for scalable Calcium Imaging data Analysis

Pengcheng Zhou, Andrea Giovannucci, Dmitri B. Chklovskii, 2018, bioRxiv.

Automatic Adaptation to Fast Input Changes in a Time-Invariant Neural Circuit

Dmitri B. Chklovskii, Arjun Bharioke, D. Chklovskii, 2015, PLoS Comput. Biol..

A Normative Theory of Adaptive Dimensionality Reduction in Neural Networks

Dmitri B. Chklovskii, Cengiz Pehlevan, D. Chklovskii, 2015, NIPS.

Efficient Principal Subspace Projection of Streaming Data Through Fast Similarity Matching

Andrea Giovannucci, Dmitri B. Chklovskii, Cengiz Pehlevan, 2018, 2018 IEEE International Conference on Big Data (Big Data).

Wiring Optimization in the Brain

Dmitri B. Chklovskii, Charles F. Stevens, D. Chklovskii, 1999, NIPS.

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

Dmitri B. Chklovskii, Bin Yu, Cengiz Pehlevan, 2016, 2016 50th Asilomar Conference on Signals, Systems and Computers.

Neuroscience-Inspired Online Unsupervised Learning Algorithms: Artificial neural networks

Dmitri B. Chklovskii, Cengiz Pehlevan, D. Chklovskii, 2019, IEEE Signal Processing Magazine.

Exact Solution for the Optimal Neuronal Layout Problem

Dmitri B. Chklovskii, D. Chklovskii, 2004, Neural Computation.

Why Do Similarity Matching Objectives Lead to Hebbian/Anti-Hebbian Networks?

Anirvan M. Sengupta, Dmitri B. Chklovskii, Cengiz Pehlevan, 2017, Neural Computation.

Optimal Information Storage in Noisy Synapses under Resource Constraints

Lav R. Varshney, Dmitri B. Chklovskii, Per Jesper Sjöström, 2006, Neuron.

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

Ronen Basri, Shan Xu, Dmitri B. Chklovskii, 2011, EMMCVPR.

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

Dmitri B. Chklovskii, Cengiz Pehlevan, D. Chklovskii, 2015, 2015 53rd Annual Allerton Conference on Communication, Control, and Computing (Allerton).

Adversarial synapses: Hebbian/anti-Hebbian learning optimizes min-max objectives pdf

Anirvan M. Sengupta, Dmitri B. Chklovskii, Cengiz Pehlevan, 2017, ArXiv.

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

Tao Hu, Dmitri B. Chklovskii, D. Chklovskii, 2012, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Is your brain wired optimally

Dmitri B. Chklovskii, 2009 .

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

Ashok Veeraraghavan, Shan Xu, Dmitri B. Chklovskii, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Drosophila Connectome

Ian A. Meinertzhagen, Dmitri B. Chklovskii, Louis K. Scheffer, 2014, Encyclopedia of Computational Neuroscience.

Orientation Preference Patterns in Mammalian Visual Cortex A Wire Length Minimization Approach

Dmitri B. Chklovskii, Alexei A. Koulakov, D. Chklovskii, 2001, Neuron.

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

Dmitri B. Chklovskii, Cengiz Pehlevan, D. Chklovskii, 2014, 2014 48th Asilomar Conference on Signals, Systems and Computers.

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

Dmitri B. Chklovskii, Cengiz Pehlevan, D. Chklovskii, 2019, IEEE Signal Processing Magazine.

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

Shan Xu, Dmitri B. Chklovskii, Louis K. Scheffer, 2013, IEEE Transactions on Medical Imaging.

OnACID: Online Analysis of Calcium Imaging Data in Real Time

Liam Paninski, Andrea Giovannucci, Dmitri B. Chklovskii, 2017, bioRxiv.

Sparse LMS via online linearized Bregman iteration

Tao Hu, Dmitri B. Chklovskii, D. Chklovskii, 2012, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

Anirvan M. Sengupta, Dmitri B. Chklovskii, Mariano Tepper, 2017, J. Mach. Learn. Res..

Blind Nonnegative Source Separation Using Biological Neural Networks

Dmitri B. Chklovskii, Cengiz Pehlevan, Sreyas Mohan, 2017, Neural Computation.

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

Tao Hu, Dmitri B. Chklovskii, Cengiz Pehlevan, 2014, 2014 48th Asilomar Conference on Signals, Systems and Computers.

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

Anirvan M. Sengupta, Dmitri B. Chklovskii, Mariano Tepper, 2017, ArXiv.

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

Daniel Soudry, Dmitri B. Chklovskii, Daniel Soudry, 2012, NIPS.

A lattice filter model of the visual pathway

Karol Gregor, Dmitri B. Chklovskii, D. Chklovskii, 2012, NIPS.

Biologically-plausible neural models for time-series clustering

Anirvan M. Sengupta, Dmitri B. Chklovskii, Tiberiu Tesileanu, 2019 .

Machine Learning of Hierarchical Clustering to Segment 2D and 3D Images

Jianbo Shi, Dmitri B. Chklovskii, Toufiq Parag, 2013, PloS one.

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

Dmitri B. Chklovskii, Shaul Druckmann, 2010, NIPS.

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

Tao Hu, Dmitri B. Chklovskii, Alexander Genkin, 2012, Neural Computation.

A clustering neural network model of insect olfaction

Dmitri B. Chklovskii, Alexander Genkin, Cengiz Pehlevan, 2017 .

Derivation of Neural Circuits from the Similarity Matching Principle

Dmitri B. Chklovskii, Cengiz Pehlevan, 2016 .

A clustering neural network model of insect olfaction

Dmitri B. Chklovskii, Alexander Genkin, Cengiz Pehlevan, 2017, bioRxiv.

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

Dmitri B. Chklovskii, Amirhossein Khalilian-Gourtani, Mariano Tepper, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Evolution as the blind engineer: wiring minimization in the brain (Abstract only)

Dmitri B. Chklovskii, 2004, SLIP '04.

Wiring Optimization in Cortical Circuits

Dmitri B. Chklovskii, Charles F. Stevens, Thomas Schikorski, 2002, Neuron.

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

Quan Wen, Dmitri B. Chklovskii, D. Chklovskii, 2005, PLoS Comput. Biol..

Author response: The comprehensive connectome of a neural substrate for ‘ON’ motion detection in Drosophila

Aljoscha Nern, Gerald M. Rubin, Ian A. Meinertzhagen, 2017 .

Machine learning of hierarchical clustering to segment n-dimensional images pdf

Dmitri B. Chklovskii, Toufiq Parag, Ryan Kennedy, 2013, ArXiv.

A neuron as a signal processing device

Tao Hu, Dmitri B. Chklovskii, Zaid J. Towfic, 2013, 2013 Asilomar Conference on Signals, Systems and Computers.

Bridging the Gap: Point Clouds for Merging Neurons in Connectomics pdf

Dmitri B. Chklovskii, Jingpeng Wu, Jules Berman, 2021, MIDL.

Neural optimal feedback control with local learning rules pdf

Siavash Golkar, Anirvan M. Sengupta, Dmitri B. Chklovskii, 2021, NeurIPS.

A Neural Network with Local Learning Rules for Minor Subspace Analysis pdf

Yanis Bahroun, Dmitri B. Chklovskii, D. Chklovskii, 2021, ArXiv.

To Myelinate or Not to Myelinate

Dmitri B. Chklovskii, Quan Wen, D. Chklovskii, 2010 .

Thalamocortical input onto layer 5 pyramidal neurons measured using quantitative large-scale array tomography

Eugene W. Myers, Dmitri B. Chklovskii, Erhan Bas, 2013, Front. Neural Circuits.

Neuronal Circuits Underlying Persistent Representations Despite Time Varying Activity

Dmitri B. Chklovskii, Shaul Druckmann, D. Chklovskii, 2012, Current Biology.

Wiring economy can account for cell body placement across species and brain areas

Hanchuan Peng, Dmitri B. Chklovskii, Marta Rivera-Alba, 2014, Current Biology.

Synaptic Connectivity and Neuronal MorphologyTwo Sides of the Same Coin

Dmitri B. Chklovskii, D. Chklovskii, 2004 .

Wiring Economy and Volume Exclusion Determine Neuronal Placement in the Drosophila Brain

Ian A. Meinertzhagen, Dmitri B. Chklovskii, Louis K. Scheffer, 2011, Current Biology.