Dmitri B. Chklovskii

103 papers A* 13B 1Misc 11Journal 60Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	A Network of Biologically Inspired Rectified Spectral Units (ReSUs) Learns Hierarchical Features Without Error Backpropagation. AAAI Shanshan Qin, Joshua Pughe-Sanford, Alexander Genkin, Pembe Gizem Özdil, Philip Greengard, Anirvan M. Sengupta, Dmitri B. Chklovskii
2024	J	`jnl`	Neuronal Temporal Filters as Normal Mode Extractors. CoRR Siavash Golkar, Jules Berman, David Lipshutz, Robert Mihai Haret, Tim Gollisch, Dmitri B. Chklovskii
2024	J	`jnl`	The Neuron as a Direct Data-Driven Controller. CoRR Jason Moore, Alexander Genkin, Magnus Tournoy, Joshua Pughe-Sanford, Robert R. de Ruyter van Steveninck, Dmitri B. Chklovskii
2023	J	`jnl`	A linear discriminant analysis model of imbalanced associative learning in the mushroom body compartment. PLoS Comput. Biol. David Lipshutz, Aneesh Kashalikar, Shiva Farashahi, Dmitri B. Chklovskii
2023	J	`jnl`	A normative framework for deriving neural networks with multi-compartmental neurons and non-Hebbian plasticity. CoRR David Lipshutz, Yanis Bahroun, Siavash Golkar, Anirvan M. Sengupta, Dmitri B. Chklovskii
2023	A*	`conf`	Adaptive Whitening in Neural Populations with Gain-modulating Interneurons. ICML Lyndon R. Duong, David Lipshutz, David J. Heeger, Dmitri B. Chklovskii, Eero P. Simoncelli
2023	A*	`conf`	Adaptive whitening with fast gain modulation and slow synaptic plasticity. NeurIPS Lyndon R. Duong, Eero P. Simoncelli, Dmitri B. Chklovskii, David Lipshutz
2023	J	`jnl`	Adaptive whitening with fast gain modulation and slow synaptic plasticity. CoRR Lyndon R. Duong, Eero P. Simoncelli, Dmitri B. Chklovskii, David Lipshutz
2023	Misc	`conf`	An Online Algorithm for Contrastive Principal Component Analysis. ICASSP Siavash Golkar, David Lipshutz, Tiberiu Tesileanu, Dmitri B. Chklovskii
2023	J	`jnl`	An Out-of-Domain Synapse Detection Challenge for Microwasp Brain Connectomes. CoRR Jingpeng Wu, Yicong Li, Nishika Gupta, Kazunori Shinomiya, Pat Gunn, Alexey Polilov, Hanspeter Pfister, Dmitri B. Chklovskii, Donglai Wei
2023	J	`jnl`	Duality Principle and Biologically Plausible Learning: Connecting the Representer Theorem and Hebbian Learning. CoRR Yanis Bahroun, Dmitri B. Chklovskii, Anirvan M. Sengupta
2023	A*	`conf`	Interneurons accelerate learning dynamics in recurrent neural networks for statistical adaptation. ICLR David Lipshutz, Cengiz Pehlevan, Dmitri B. Chklovskii
2023	J	`jnl`	Statistical whitening of neural populations with gain-modulating interneurons. CoRR Lyndon R. Duong, David Lipshutz, David J. Heeger, Dmitri B. Chklovskii, Eero P. Simoncelli
2023	J	`jnl`	Unlocking the Potential of Similarity Matching: Scalability, Supervision and Pre-training. CoRR Yanis Bahroun, Shagesh Sridharan, Atithi Acharya, Dmitri B. Chklovskii, Anirvan M. Sengupta
2022	J	`jnl`	An online algorithm for contrastive Principal Component Analysis. CoRR Siavash Golkar, David Lipshutz, Tiberiu Tesileanu, Dmitri B. Chklovskii
2022	A*	`conf`	Biological Learning of Irreducible Representations of Commuting Transformations. NeurIPS Alexander Genkin, David Lipshutz, Siavash Golkar, Tiberiu Tesileanu, Dmitri B. Chklovskii
2022	J	`jnl`	Biologically plausible single-layer networks for nonnegative independent component analysis. Biol. Cybern. David Lipshutz, Cengiz Pehlevan, Dmitri B. Chklovskii
2022	—	`conf`	Bridging the Gap: Point Clouds for Merging Neurons in Connectomics. MIDL Jules Berman, Dmitri B. Chklovskii, Jingpeng Wu
2022	A*	`conf`	Constrained Predictive Coding as a Biologically Plausible Model of the Cortical Hierarchy. NeurIPS Siavash Golkar, Tiberiu Tesileanu, Yanis Bahroun, Anirvan M. Sengupta, Dmitri B. Chklovskii
2022	J	`jnl`	Interneurons accelerate learning dynamics in recurrent neural networks for statistical adaptation. CoRR David Lipshutz, Cengiz Pehlevan, Dmitri B. Chklovskii
2022	J	`jnl`	Neural Circuits for Dynamics-Based Segmentation of Time Series. Neural Comput. Tiberiu Tesileanu, Siavash Golkar, Samaneh Nasiri, Anirvan M. Sengupta, Dmitri B. Chklovskii
2022	J	`jnl`	Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution. CoRR Anthony Zador, Blake A. Richards, Bence Ölveczky, Sean Escola, Yoshua Bengio, Kwabena Boahen, Matthew M. Botvinick, Dmitri B. Chklovskii, Anne Churchland, Claudia Clopath, James DiCarlo, Surya Ganguli, Jeff Hawkins, Konrad P. Körding, Alexei A. Koulakov, Yann LeCun, Timothy P. Lillicrap, Adam H. Marblestone, Bruno A. Olshausen, Alexandre Pouget, Cristina Savin, Terrence J. Sejnowski, Eero P. Simoncelli, Sara A. Solla, David Sussillo, Andreas S. Tolias, Doris Tsao
2021	J	`jnl`	A Biologically Plausible Neural Network for Multichannel Canonical Correlation Analysis. Neural Comput. David Lipshutz, Yanis Bahroun, Siavash Golkar, Anirvan M. Sengupta, Dmitri B. Chklovskii
2021	J	`jnl`	A Neural Network with Local Learning Rules for Minor Subspace Analysis. CoRR Yanis Bahroun, Dmitri B. Chklovskii
2021	A*	`conf`	A Normative and Biologically Plausible Algorithm for Independent Component Analysis. NeurIPS Yanis Bahroun, Dmitri B. Chklovskii, Anirvan M. Sengupta
2021	J	`jnl`	A Normative and Biologically Plausible Algorithm for Independent Component Analysis. CoRR Yanis Bahroun, Dmitri B. Chklovskii, Anirvan M. Sengupta
2021	J	`jnl`	A Similarity-preserving Neural Network Trained on Transformed Images Recapitulates Salient Features of the Fly Motion Detection Circuit. CoRR Yanis Bahroun, Anirvan M. Sengupta, Dmitri B. Chklovskii
2021	J	`jnl`	Bridging the Gap: Point Clouds for Merging Neurons in Connectomics. CoRR Jules Berman, Dmitri B. Chklovskii, Jingpeng Wu
2021	A*	`conf`	Neural optimal feedback control with local learning rules. NeurIPS Johannes Friedrich, Siavash Golkar, Shiva Farashahi, Alexander Genkin, Anirvan M. Sengupta, Dmitri B. Chklovskii
2021	J	`jnl`	Neural optimal feedback control with local learning rules. CoRR Johannes Friedrich, Siavash Golkar, Shiva Farashahi, Alexander Genkin, Anirvan M. Sengupta, Dmitri B. Chklovskii
2020	A*	`conf`	A Biologically Plausible Neural Network for Slow Feature Analysis. NeurIPS David Lipshutz, Charles Windolf, Siavash Golkar, Dmitri B. Chklovskii
2020	J	`jnl`	A biologically plausible neural network for Slow Feature Analysis. CoRR David Lipshutz, Charlie Windolf, Siavash Golkar, Dmitri B. Chklovskii
2020	J	`jnl`	A biologically plausible neural network for local supervision in cortical microcircuits. CoRR Siavash Golkar, David Lipshutz, Yanis Bahroun, Anirvan M. Sengupta, Dmitri B. Chklovskii
2020	J	`jnl`	A biologically plausible neural network for multi-channel Canonical Correlation Analysis. CoRR David Lipshutz, Yanis Bahroun, Siavash Golkar, Anirvan M. Sengupta, Dmitri B. Chklovskii
2020	A*	`conf`	A simple normative network approximates local non-Hebbian learning in the cortex. NeurIPS Siavash Golkar, David Lipshutz, Yanis Bahroun, Anirvan M. Sengupta, Dmitri B. Chklovskii
2020	J	`jnl`	A simple normative network approximates local non-Hebbian learning in the cortex. CoRR Siavash Golkar, David Lipshutz, Yanis Bahroun, Anirvan M. Sengupta, Dmitri B. Chklovskii
2020	J	`jnl`	Bio-NICA: A biologically inspired single-layer network for Nonnegative Independent Component Analysis. CoRR David Lipshutz, Dmitri B. Chklovskii
2020	J	`jnl`	Neurons as Canonical Correlation Analyzers. Frontiers Comput. Neurosci. Cengiz Pehlevan, Xinyuan Zhao, Anirvan M. Sengupta, Dmitri B. Chklovskii
2019	J	`jnl`	A Neural Network for Semi-Supervised Learning on Manifolds. CoRR Alexander Genkin, Anirvan M. Sengupta, Dmitri B. Chklovskii
2019	—	`conf`	A Neural Network for Semi-supervised Learning on Manifolds. ICANN (1) Alexander Genkin, Anirvan M. Sengupta, Dmitri B. Chklovskii
2019	A*	`conf`	A Similarity-preserving Network Trained on Transformed Images Recapitulates Salient Features of the Fly Motion Detection Circuit. NeurIPS Yanis Bahroun, Dmitri B. Chklovskii, Anirvan M. Sengupta
2019	J	`jnl`	Neuroscience-Inspired Online Unsupervised Learning Algorithms: Artificial neural networks. IEEE Signal Process. Mag. Cengiz Pehlevan, Dmitri B. Chklovskii
2019	J	`jnl`	Neuroscience-inspired online unsupervised learning algorithms. CoRR Cengiz Pehlevan, Dmitri B. Chklovskii
2019	Misc	`conf`	Strip the Stripes: Artifact Detection and Removal for Scanning Electron Microscopy Imaging. ICASSP Amirhossein Khalilian-Gourtani, Mariano Tepper, Victor Minden, Dmitri B. Chklovskii
2018	Misc	`conf`	Biologically Plausible Online Principal Component Analysis Without Recurrent Neural Dynamics. ACSSC Victor Minden, Cengiz Pehlevan, Dmitri B. Chklovskii
2018	J	`jnl`	Clustering is semidefinitely not that hard: Nonnegative SDP for manifold disentangling. J. Mach. Learn. Res. Mariano Tepper, Anirvan M. Sengupta, Dmitri B. Chklovskii
2018	—	`conf`	Efficient Principal Subspace Projection of Streaming Data Through Fast Similarity Matching. IEEE BigData Andrea Giovannucci, Victor Minden, Cengiz Pehlevan, Dmitri B. Chklovskii
2018	J	`jnl`	Efficient Principal Subspace Projection of Streaming Data Through Fast Similarity Matching. CoRR Andrea Giovannucci, Victor Minden, Cengiz Pehlevan, Dmitri B. Chklovskii
2018	A*	`conf`	Manifold-tiling Localized Receptive Fields are Optimal in Similarity-preserving Neural Networks. NeurIPS Anirvan M. Sengupta, Cengiz Pehlevan, Mariano Tepper, Alexander Genkin, Dmitri B. Chklovskii
2018	J	`jnl`	Why Do Similarity Matching Objectives Lead to Hebbian/Anti-Hebbian Networks? Neural Comput. Cengiz Pehlevan, Anirvan M. Sengupta, Dmitri B. Chklovskii
2017	Misc	`conf`	A clustering neural network model of insect olfaction. ACSSC Cengiz Pehlevan, Alexander Genkin, Dmitri B. Chklovskii
2017	J	`jnl`	Adversarial synapses: Hebbian/anti-Hebbian learning optimizes min-max objectives. CoRR Cengiz Pehlevan, Anirvan M. Sengupta, Dmitri B. Chklovskii
2017	J	`jnl`	Blind Nonnegative Source Separation Using Biological Neural Networks. Neural Comput. Cengiz Pehlevan, Sreyas Mohan, Dmitri B. Chklovskii
2017	J	`jnl`	Blind nonnegative source separation using biological neural networks. CoRR Cengiz Pehlevan, Sreyas Mohan, Dmitri B. Chklovskii
2017	—	`conf`	OnACID: Online Analysis of Calcium Imaging Data in Real Time. NIPS Andrea Giovannucci, Johannes Friedrich, Matthew T. Kaufman, Anne Churchland, Dmitri B. Chklovskii, Liam Paninski, Eftychios A. Pnevmatikakis
2017	J	`jnl`	The surprising secret identity of the semidefinite relaxation of K-means: manifold learning. CoRR Mariano Tepper, Anirvan M. Sengupta, Dmitri B. Chklovskii
2016	Misc	`conf`	Do retinal ganglion cells project natural scenes to their principal subspace and whiten them? ACSSC Reza Abbasi-Asl, Cengiz Pehlevan, Bin Yu, Dmitri B. Chklovskii
2016	J	`jnl`	Self-calibrating Neural Networks for Dimensionality Reduction. CoRR Yuansi Chen, Cengiz Pehlevan, Dmitri B. Chklovskii
2016	Misc	`conf`	Self-calibrating neural networks for dimensionality reduction. ACSSC Yuansi Chen, Cengiz Pehlevan, Dmitri B. Chklovskii
2015	J	`jnl`	A Hebbian/Anti-Hebbian Network Derived from Online Non-Negative Matrix Factorization Can Cluster and Discover Sparse Features. CoRR Cengiz Pehlevan, Dmitri B. Chklovskii
2015	J	`jnl`	A Hebbian/Anti-Hebbian Network for Online Sparse Dictionary Learning Derived from Symmetric Matrix Factorization. CoRR Tao Hu, Cengiz Pehlevan, Dmitri B. Chklovskii
2015	J	`jnl`	A Hebbian/Anti-Hebbian Neural Network for Linear Subspace Learning: A Derivation from Multidimensional Scaling of Streaming Data. CoRR Cengiz Pehlevan, Tao Hu, Dmitri B. Chklovskii
2015	J	`jnl`	A Hebbian/Anti-Hebbian Neural Network for Linear Subspace Learning: A Derivation from Multidimensional Scaling of Streaming Data. Neural Comput. Cengiz Pehlevan, Tao Hu, Dmitri B. Chklovskii
2015	—	`conf`	A Normative Theory of Adaptive Dimensionality Reduction in Neural Networks. NIPS Cengiz Pehlevan, Dmitri B. Chklovskii
2015	J	`jnl`	A Normative Theory of Adaptive Dimensionality Reduction in Neural Networks. CoRR Cengiz Pehlevan, Dmitri B. Chklovskii
2015	J	`jnl`	Automatic Adaptation to Fast Input Changes in a Time-Invariant Neural Circuit. PLoS Comput. Biol. Arjun Bharioke, Dmitri B. Chklovskii
2015	Misc	`conf`	Online computation of sparse representations of time varying stimuli using a biologically motivated neural network. ICASSP Tao Hu, Dmitri B. Chklovskii
2015	—	`conf`	Optimization theory of Hebbian/anti-Hebbian networks for PCA and whitening. Allerton Cengiz Pehlevan, Dmitri B. Chklovskii
2015	J	`jnl`	Optimization theory of Hebbian/anti-Hebbian networks for PCA and whitening. CoRR Cengiz Pehlevan, Dmitri B. Chklovskii
2014	Misc	`conf`	A Hebbian/Anti-Hebbian network derived from online non-negative matrix factorization can cluster and discover sparse features. ACSSC Cengiz Pehlevan, Dmitri B. Chklovskii
2014	Misc	`conf`	A Hebbian/Anti-Hebbian network for online sparse dictionary learning derived from symmetric matrix factorization. ACSSC Tao Hu, Cengiz Pehlevan, Dmitri B. Chklovskii
2014	—	`ch.`	Drosophila Connectome. Encyclopedia of Computational Neuroscience Arjun Bharioke, Louis K. Scheffer, Dmitri B. Chklovskii, Ian A. Meinertzhagen
2014	Misc	`conf`	Sparse LMS via online linearized Bregman iteration. ICASSP Tao Hu, Dmitri B. Chklovskii
2013	Misc	`conf`	A neuron as a signal processing device. ACSSC Tao Hu, Zaid J. Towfic, Cengiz Pehlevan, Alex V. Genkin, Dmitri B. Chklovskii
2013	J	`jnl`	Electron Microscopy Reconstruction of Brain Structure Using Sparse Representations Over Learned Dictionaries. IEEE Trans. Medical Imaging Tao Hu, Juan Nunez-Iglesias, Shiv Naga Prasad Vitaladevuni, Lou Scheffer, Shan Xu, Mehdi Bolorizadeh, Harald F. Hess, Richard Fetter, Dmitri B. Chklovskii
2013	J	`jnl`	Machine learning of hierarchical clustering to segment n-dimensional images CoRR Juan Nunez-Iglesias, Ryan Kennedy, Toufiq Parag, Jianbo Shi, Dmitri B. Chklovskii
2013	B	`conf`	Tracking multiple neurons on worm images. Image Processing Toufiq Parag, Victoria Butler, Dmitri B. Chklovskii
2012	—	`conf`	"Neuronal spike generation mechanism as an oversampling, noise-shaping A-to-D converter". NIPS Dmitri B. Chklovskii, Daniel Soudry
2012	J	`jnl`	A Network of Spiking Neurons for Computing Sparse Representations in an Energy-Efficient Way. Neural Comput. Tao Hu, Alexander Genkin, Dmitri B. Chklovskii
2012	—	`conf`	A lattice filter model of the visual pathway. NIPS Karol Gregor, Dmitri B. Chklovskii
2012	—	`conf`	A mechanistic model of early sensory processing based on subtracting sparse representations. NIPS Shaul Druckmann, Tao Hu, Dmitri B. Chklovskii
2012	J	`jnl`	A network of spiking neurons for computing sparse representations in an energy efficient way CoRR Tao Hu, Alexander Genkin, Dmitri B. Chklovskii
2012	J	`jnl`	Online computation of sparse representations of time varying stimuli using a biologically motivated neural network CoRR Tao Hu, Dmitri B. Chklovskii
2012	J	`jnl`	Reconstruction of Sparse Circuits Using Multi-neuronal Excitation (RESCUME) CoRR Tao Hu, Dmitri B. Chklovskii
2012	J	`jnl`	Sparse LMS via Online Linearized Bregman Iteration CoRR Tao Hu, Dmitri B. Chklovskii
2012	J	`jnl`	Super-resolution using Sparse Representations over Learned Dictionaries: Reconstruction of Brain Structure using Electron Microscopy. CoRR Tao Hu, Juan Nunez-Iglesias, Shiv Naga Prasad Vitaladevuni, Lou Scheffer, Shan Xu, Mehdi Bolorizadeh, Harald F. Hess, Richard Fetter, Dmitri B. Chklovskii
2011	—	`conf`	High Resolution Segmentation of Neuronal Tissues from Low Depth-Resolution EM Imagery. EMMCVPR Daniel Glasner, Tao Hu, Juan Nunez-Iglesias, Lou Scheffer, Shan Xu, Harald F. Hess, Richard Fetter, Dmitri B. Chklovskii, Ronen Basri
2011	J	`jnl`	Structural Properties of the PLoS Comput. Biol. Lav R. Varshney, Beth L. Chen, Eric Paniagua, David H. Hall, Dmitri B. Chklovskii
2010	A*	`conf`	Increasing depth resolution of electron microscopy of neural circuits using sparse tomographic reconstruction. CVPR Ashok Veeraraghavan, Alex V. Genkin, Shiv Naga Prasad Vitaladevuni, Lou Scheffer, Shan Xu, Harald F. Hess, Richard Fetter, Marco Cantoni, Graham Knott, Dmitri B. Chklovskii
2010	—	`conf`	Over-complete representations on recurrent neural networks can support persistent percepts. NIPS Shaul Druckmann, Dmitri B. Chklovskii
2009	—	`conf`	Reconstruction of Sparse Circuits Using Multi-neuronal Excitation (RESCUME). NIPS Tao Hu, Anthony M. Leonardo, Dmitri B. Chklovskii
2006	—	`conf`	Placement and routing optimization in the brain. ISPD Beth L. Chen, Dmitri B. Chklovskii
2005	J	`jnl`	Segregation of the Brain into Gray and White Matter: A Design Minimizing Conduction Delays. PLoS Comput. Biol. Quan Wen, Dmitri B. Chklovskii
2004	J	`jnl`	Are spatial positions of dendritic and axonal branches correlated or independent? Neurocomputing Armen Stepanyants, Gábor Tamás, Dmitri B. Chklovskii
2004	J	`jnl`	Biophysical constraints on neuronal branching. Neurocomputing Orit Shefi, Amir Harel, Dmitri B. Chklovskii, Eshel Ben-Jacob, Amir Ayali
2004	—	`conf`	Evolution as the blind engineer: wiring minimization in the brain. SLIP Dmitri B. Chklovskii
2004	J	`jnl`	Exact Solution for the Optimal Neuronal Layout Problem. Neural Comput. Dmitri B. Chklovskii
2002	—	`conf`	Branching Law for Axons. NIPS Dmitri B. Chklovskii, Armen Stepanyants
2002	J	`jnl`	Direction of motion maps in the visual cortex: a wire length minimization approach. Neurocomputing Alexei A. Koulakov, Dmitri B. Chklovskii
2002	J	`jnl`	Information storage capacity of synaptic connectivity patterns. Neurocomputing Armen Stepanyants, Patrick R. Hof, Dmitri B. Chklovskii
1999	J	`jnl`	Ocular dominance patterns in mammalian visual cortex: A wire length minimization approach CoRR Dmitri B. Chklovskii, Alexei A. Koulakov
1999	—	`conf`	Optimal Sizes of Dendritic and Axonal Arbors. NIPS Dmitri B. Chklovskii
1999	—	`conf`	Wiring Optimization in the Brain NIPS Dmitri B. Chklovskii, Charles F. Stevens