H. Sebastian Seung

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Convergence of gradient descent-ascent analyzed as a Newtonian dynamical system with dissipation pdf

H. Sebastian Seung, H. Seung, 2019, ArXiv.

Permitted and Forbidden Sets in Symmetric Threshold-Linear Networks

H. Sebastian Seung, Richard H. R. Hahnloser, Richard Hans Robert Hahnloser, 2003, Neural Computation.

Weakly Supervised Deep Metric Learning for Template Matching

H. Sebastian Seung, Davit Buniatyan, Sergiy Popovych, 2019, CVC.

Analogous Convergence of Sustained and Transient Inputs in Parallel On and Off Pathways for Retinal Motion Computation

H. Sebastian Seung, Matthew J. Greene, Jinseop S. Kim, 2016, Cell reports.

Unsupervised learning by a "softened" correlation game: duality and convergence

H. Sebastian Seung, Runzhe Yang, Kyle L. Luther, 2019, 2019 53rd Asilomar Conference on Signals, Systems, and Computers.

Learning to Agglomerate Superpixel Hierarchies

H. Sebastian Seung, Moritz Helmstaedter, Srinivas C. Turaga, 2011, NIPS.

Synaptic Partner Assignment Using Attentional Voxel Association Networks

H. Sebastian Seung, Dodam Ih, Nicholas Turner, 2019, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

Minimax and Hamiltonian Dynamics of Excitatory-Inhibitory Networks

Jeffrey C. Lagarias, H. Sebastian Seung, John J. Hopfield, 1997, NIPS.

Actuating a simple 3D passive dynamic walker

H. Sebastian Seung, Russ Tedrake, Teresa Weirui Zhang, 2004, IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004.

Reconstructing Neuronal Anatomy from Whole-Brain Images

H. Sebastian Seung, James Gornet, Pavel Osten, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

PZnet: Efficient CPU ConvNet Inference Engine for 3D Medical Image Processing

H. Sebastian Seung, Kai Li, Davit Buniatyan, 2018 .

Boundary Learning by Optimization with Topological Constraints

H. Sebastian Seung, Moritz Helmstaedter, Narayanan Kasthuri, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Learning from a Population of Hypotheses

H. Sebastian Seung, Michael Kearns, M. Kearns, 1993, COLT '93.

Operant Matching as a Nash Equilibrium of an Intertemporal Game

H. Sebastian Seung, Drazen Prelec, Yonatan Loewenstein, 2009, Neural Computation.

A solution to the single-question crowd wisdom problem

H. Sebastian Seung, Dražen Prelec, john McCoy, 2017, Nature.

Scalable training of 3D convolutional networks on multi- and many-cores

H. Sebastian Seung, Kisuk Lee, Aleksandar Zlateski, 2017, J. Parallel Distributed Comput..

2006 Special Issue Neural voting machines

H. Sebastian Seung, Whitman Richards, Galen Pickard, 2006 .

Equivalence of Backpropagation and Contrastive Hebbian Learning in a Layered Network

Xiaohui Xie, H. Sebastian Seung, H. Seung, 2003, Neural Computation.

Convolutional nets for reconstructing neural circuits from brain images acquired by serial section electron microscopy

H. Sebastian Seung, Thomas Macrina, Nicholas Turner, 2019, Current Opinion in Neurobiology.

Q-Learning for Continuous Actions with Cross-Entropy Guided Policies pdf

H. Sebastian Seung, Daniel D. Lee, Eric Mitchell, 2019, ArXiv.

Unsupervised learning by a nonlinear network with Hebbian excitatory and anti-Hebbian inhibitory neurons pdf

H. Sebastian Seung, H. Seung, 2018, ArXiv.

Automated computation of arbor densities: a step toward identifying neuronal cell types

H. Sebastian Seung, Ashwin Vishwanathan, Uygar Sümbül, 2014, Front. Neuroanat..

Selective Sampling Using the Query by Committee Algorithm

H. Sebastian Seung, Yoav Freund, Naftali Tishby, 1997, Machine Learning.

9.641J / 8.594J Introduction to Neural Networks, Fall 2002

H. Sebastian Seung, 2002 .

Natural Image Denoising with Convolutional Networks

H. Sebastian Seung, Viren Jain, H. Seung, 2008, NIPS.

Learning Winner-take-all Competition Between Groups of Neurons in Lateral Inhibitory Networks

Xiaohui Xie, H. Sebastian Seung, Richard H. R. Hahnloser, 2000, NIPS.

ZNNi - Maximizing the Inference Throughput of 3D Convolutional Networks on Multi-Core CPUs and GPUs pdf

H. Sebastian Seung, Kisuk Lee, Aleksandar Zlateski, 2016, ArXiv.

Algorithms for Non-negative Matrix Factorization

H. Sebastian Seung, Daniel D. Lee, Daniel D. Lee, 2000, NIPS.

On-line Learning of Dichotomies

H. Sebastian Seung, Haim Sompolinsky, N. Barkai, 1994, NIPS.

An Error Detection and Correction Framework for Connectomics

H. Sebastian Seung, Jonathan Zung, Kisuk Lee, 2017, NIPS.

Trainable Weka Segmentation: a machine learning tool for microscopy pixel classification

H. Sebastian Seung, Kevin W. Eliceiri, Verena Kaynig, 2017, Bioinform..

Program Synthesis Through Reinforcement Learning Guided Tree Search pdf

H. Sebastian Seung, Anders Miltner, Riley Simmons-Edler, 2018, ArXiv.

Chunkflow: Distributed Hybrid Cloud Processing of Large 3D Images by Convolutional Nets pdf

H. Sebastian Seung, Jingpeng Wu, William M. Silversmith, 2019, ArXiv.

Unsupervised Learning by Convex and Conic Coding

H. Sebastian Seung, Daniel D. Lee, Daniel D. Lee, 1996, NIPS.

Learning the parts of objects by non-negative matrix factorization

H. Sebastian Seung, Daniel D. Lee, Daniel D. Lee, 1999, Nature.

VAST (Volume Annotation and Segmentation Tool): Efficient Manual and Semi-Automatic Labeling of Large 3D Image Stacks

H. Sebastian Seung, Daniel R. Berger, Jeff W. Lichtman, 2018, Front. Neural Circuits.

A correlation game for unsupervised learning yields computational interpretations of Hebbian excitation, anti-Hebbian inhibition, and synapse elimination pdf

H. Sebastian Seung, Jonathan Zung, H. Seung, 2017, ArXiv.

The Rectified Gaussian Distribution

H. Sebastian Seung, Daniel D. Lee, Nicholas D. Socci, 1997, NIPS.

Variance-Preserving Initialization Schemes Improve Deep Network Training: But Which Variance is Preserved? pdf

H. Sebastian Seung, Kyle Luther, 2019, ArXiv.

Learning to Walk in 20 Minutes

H. Sebastian Seung, Russ Tedrake, Russ Tedrake, 2005 .

Crowdsourcing the creation of image segmentation algorithms for connectomics

Joachim M. Buhmann, Changming Sun, H. Sebastian Seung, 2015, Front. Neuroanat..

Learning from a population of hypotheses

H. Sebastian Seung, Michael Kearns, 1995, Machine Learning.

ZNNi: Maximizing the Inference Throughput of 3D Convolutional Networks on CPUs and GPUs

H. Sebastian Seung, Kisuk Lee, Aleksandar Zlateski, 2016, SC16: International Conference for High Performance Computing, Networking, Storage and Analysis.

Learning curves in large neural networks

H. Sebastian Seung, Naftali Tishby, Haim Sompolinsky, 1991, COLT '91.

FlyWire: Online community for whole-brain connectomics

Ran Lu, Sandeep Kumar, H. Sebastian Seung, 2020, bioRxiv.

Rigorous learning curve bounds from statistical mechanics

David Haussler, H. Sebastian Seung, Naftali Tishby, 1994, Machine-mediated learning.

Caesar: Segment-Wise Alignment Method for Solving Discontinuous Deformations

H. Sebastian Seung, Sergiy Popovych, J. Alexander Bae, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

ZNN -- A Fast and Scalable Algorithm for Training 3D Convolutional Networks on Multi-core and Many-Core Shared Memory Machines

H. Sebastian Seung, Kisuk Lee, Aleksandar Zlateski, 2015, 2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS).

Neural Voting Machines

H. Sebastian Seung, Whitman Richards, Galen Pickard, 2006, Neural Networks.

Superhuman Accuracy on the SNEMI3D Connectomics Challenge pdf

H. Sebastian Seung, Peter Li, Jonathan Zung, 2017, ArXiv.

PZnet: Efficient 3D ConvNet Inference on Manycore CPUs

H. Sebastian Seung, Kai Li, Davit Buniatyan, 2019, CVC.

Modularity and neural coding from a brainstem synaptic wiring diagram

H. Sebastian Seung, Dodam Ih, Mark S. Goldman, 2020 .

A theory of neural integration in the head-direction system

Xiaohui Xie, H. Sebastian Seung, Richard H. R. Hahnloser, 2001, NIPS.

Compile-time optimized and statically scheduled N-D convnet primitives for multi-core and many-core (Xeon Phi) CPUs

H. Sebastian Seung, Aleksandar Zlateski, 2017, ICS '17.

A Neural Network Based Head Tracking System

H. Sebastian Seung, Daniel D. Lee, Daniel D. Lee, 1997, NIPS.

The Manifold Ways of Perception

H. Sebastian Seung, Daniel D. Lee, Daniel D. Lee, 2000, Science.

Recursive Training of 2D-3D Convolutional Networks for Neuronal Boundary Prediction

H. Sebastian Seung, Kisuk Lee, Ashwin Vishwanathan, 2015, NIPS.

QXplore: Q-learning Exploration by Maximizing Temporal Difference Error pdf

H. Sebastian Seung, Eric Mitchell, Riley Simmons-Edler, 2019, ArXiv.

Reading the Book of Memory: Sparse Sampling versus Dense Mapping of Connectomes

H. Sebastian Seung, H. Seung, Sebastian Seung, 2009, Neuron.

생성모형의 학습을 위한 상향전파알고리듬

H. Sebastian Seung, 오종훈, 오종훈, 1998 .

Stochastic policy gradient reinforcement learning on a simple 3D biped

H. Sebastian Seung, Russ Tedrake, Teresa Weirui Zhang, 2004, 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (IEEE Cat. No.04CH37566).

Deep Learning Improves Template Matching by Normalized Cross Correlation pdf

H. Sebastian Seung, Davit Buniatyan, Dodam Ih, 2017, ArXiv.

Query by committee

H. Sebastian Seung, Manfred Opper, Haim Sompolinsky, 1992, COLT '92.

Convolutional Networks Can Learn to Generate Affinity Graphs for Image Segmentation

Joseph F. Murray, H. Sebastian Seung, Moritz Helmstaedter, 2010, Neural Computation.

Neuroscience: Towards functional connectomics

H. Sebastian Seung, H. Seung, Craig L. Maynard, 2011, Nature.

Trainable Weka Segmentation: A Machine Learning Tool for Microscopy Image Segmentation

H. Sebastian Seung, Ignacio Arganda-Carreras, Johannes Schindelin, 2014 .

Information, Prediction, and Query by Committee

H. Sebastian Seung, Yoav Freund, Naftali Tishby, 1992, NIPS.

BCI competition 2003-data set Ia: combining gamma-band power with slow cortical potentials to improve single-trial classification of electroencephalographic signals

Justin Werfel, H. Sebastian Seung, Brett D. Mensh, 2004, IEEE Transactions on Biomedical Engineering.

Rigorous Learning Curve Bounds from Statistical Mechanics

David Haussler, H. Sebastian Seung, Naftali Tishby, 1994, COLT.

Reward Prediction Error as an Exploration Objective in Deep RL

H. Sebastian Seung, Daniel D. Lee, Eric Mitchell, 2019, IJCAI.

Siamese Encoding and Alignment by Multiscale Learning with Self-Supervision pdf

H. Sebastian Seung, Davit Buniatyan, Sergiy Popovych, 2019, ArXiv.

Reexamining the principle of mean-variance preservation for neural network initialization

H. Sebastian Seung, Kyle Luther, 2020 .

Learning Dense Voxel Embeddings for 3D Neuron Reconstruction pdf

H. Sebastian Seung, Kyle Luther, Kisuk Lee, 2019, ArXiv.

Supervised Learning of Image Restoration with Convolutional Networks

Joseph F. Murray, H. Sebastian Seung, Moritz Helmstaedter, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Learning in Intelligent Embedded Systems

H. Sebastian Seung, Daniel D. Lee, Daniel D. Lee, 1999, USENIX Workshop on Embedded Systems.

Learning Generative Models with the Up-Propagation Algorithm

H. Sebastian Seung, Jong-Hoon Oh, H. Seung, 1997, NIPS.

Automatic Neuron Detection in Calcium Imaging Data Using Convolutional Networks

H. Sebastian Seung, Yi Gu, David W. Tank, 2016, NIPS.

Image Segmentation by Size-Dependent Single Linkage Clustering of a Watershed Basin Graph pdf

H. Sebastian Seung, Aleksandar Zlateski, H. Seung, 2015, ArXiv.

Intrinsic bursting enhances the robustness of a neural network model of sequence generation by avian brain area HVC

H. Sebastian Seung, Dezhe Z. Jin, Fethi M. Ramazanoglu, 2007, Journal of Computational Neuroscience.

Continuous attractors and oculomotor control

H. Sebastian Seung, H. Seung, 1998, Neural Networks.

Learning Metric Graphs for Neuron Segmentation in Electron Microscopy Images

H. Sebastian Seung, Kyle Luther, 2019, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).

Pixels to Plans: Learning Non-Prehensile Manipulation by Imitating a Planner

Daewon Lee, H. Sebastian Seung, Volkan Isler, 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Two "correlation games" for a nonlinear network with Hebbian excitatory neurons and anti-Hebbian inhibitory neurons pdf

H. Sebastian Seung, 2018, ArXiv.

Representing Part-Whole Relationships in Recurrent Neural Networks

H. Sebastian Seung, Viren Jain, Valentin P. Zhigulin, 2005, NIPS.

Selectively Grouping Neurons in Recurrent Networks of Lateral Inhibition

Xiaohui Xie, H. Sebastian Seung, Richard H. R. Hahnloser, 2002, Neural Computation.

9.29J / 8.261J Introduction to Computational Neuroscience, Spring 2002

H. Sebastian Seung, 2002 .

Maximin affinity learning of image segmentation

H. Sebastian Seung, Moritz Helmstaedter, Srinivas C. Turaga, 2009, NIPS.

The Autapse: A Simple Illustration of Short-Term Analog Memory Storage by Tuned Synaptic Feedback

H. Sebastian Seung, Daniel D. Lee, David W. Tank, 2004, Journal of Computational Neuroscience.

Spike-based Learning Rules and Stabilization of Persistent Neural Activity

Xiaohui Xie, H. Sebastian Seung, H. Seung, 1999, NIPS.

Learning Continuous Attractors in Recurrent Networks

H. Sebastian Seung, H. Seung, 1997, NIPS.

Learning Curves for Stochastic Gradient Descent in Linear Feedforward Networks

Xiaohui Xie, Justin Werfel, H. Sebastian Seung, 2003, Neural Computation.

Learning and Segmenting Dense Voxel Embeddings for 3D Neuron Reconstruction

Ran Lu, H. Sebastian Seung, Kyle L. Luther, 2019, IEEE Transactions on Medical Imaging.

Large-scale image segmentation based on distributed clustering algorithms pdf

Ran Lu, H. Sebastian Seung, Aleksandar Zlateski, 2021, ArXiv.

Amplification , Attenuation , and Integration 3 4

H. Sebastian Seung, H. Seung, 2002 .

Neural network models of birdsong production , learning , and coding

H. Sebastian Seung, Ila R. Fiete, H. Seung, 2007 .

Laser-evoked synaptic transmission in cultured hippocampal neurons expressing channelrhodopsin-2 delivered by adeno-associated virus

H. Sebastian Seung, Mazahir T. Hasan, H. Seung, 2009, Journal of Neuroscience Methods.

Corrigendum: Connectomic reconstruction of the inner plexiform layer in the mouse retina.

H. Sebastian Seung, Moritz Helmstaedter, Srinivas C. Turaga, 2014 .

Half a century of Hebb

H. Sebastian Seung, 2000, Nature Neuroscience.

Multiplicative Updates for Unsupervised and Contrastive Learning in Vision

H. Sebastian Seung, Daniel D. Lee, Lawrence K. Saul, .

The Mind of a Mouse

Bruce R. Rosen, Terrence J. Sejnowski, Yann LeCun, 2020, Cell.