H. Sebastian Seung

CoRR, 2023

Stretched sinograms for limited-angle tomographic reconstruction with neural networks.

[BibT_eX]

[DOI]

Kyle L. Luther

CoRR, 2023

2022

Sensitivity of Sparse Codes to Image Distortions.

[BibT_eX]

[DOI]

Neural Comput., 2022

RealNeuralNetworks.jl: An Integrated Julia Package for Skeletonization, Morphological Analysis, and Synaptic Connectivity Analysis of Terabyte-Scale 3D Neural Segmentations.

[BibT_eX]

[DOI]

Frontiers Neuroinformatics, 2022

Stacked unsupervised learning with a network architecture found by supervised meta-learning.

[BibT_eX]

[DOI]

CoRR, 2022

Kernel similarity matching with Hebbian neural networks.

[BibT_eX]

[DOI]

CoRR, 2022

Kernel similarity matching with Hebbian networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Learning and Segmenting Dense Voxel Embeddings for 3D Neuron Reconstruction.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2021

Large-scale image segmentation based on distributed clustering algorithms.

[BibT_eX]

[DOI]

Ran Lu

CoRR, 2021

2020

Synaptic Partner Assignment Using Attentional Voxel Association Networks.

[BibT_eX]

[DOI]

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Caesar: Segment-Wise Alignment Method for Solving Discontinuous Deformations.

[BibT_eX]

[DOI]

Sergiy Popovych

J. Alexander Bae

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Acoustic Collision Detection and Localization for Robot Manipulators.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Reward Prediction Error as an Exploration Objective in Deep RL.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Learning Dense Voxel Embeddings for 3D Neuron Reconstruction.

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

Jingpeng Wu

William M. Silversmith

CoRR, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

Learning Metric Graphs for Neuron Segmentation in Electron Microscopy Images.

[BibT_eX]

[DOI]

Kannan Umadevi Venkataraju

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Reconstructing Neuronal Anatomy from Whole-Brain Images.

[BibT_eX]

[DOI]

James Gornet

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

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

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

PZnet: Efficient 3D ConvNet Inference on Manycore CPUs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Computer Vision, 2019

Weakly Supervised Deep Metric Learning for Template Matching.

[BibT_eX]

[DOI]

Proceedings of the Advances in Computer Vision, 2019

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

[BibT_eX]

[DOI]

Kyle L. Luther

Runzhe Yang

Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018

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

[BibT_eX]

[DOI]

CoRR, 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

Program Synthesis Through Reinforcement Learning Guided Tree Search.

[BibT_eX]

[DOI]

Riley Simmons-Edler

Anders Miltner

CoRR, 2018

2017

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

[BibT_eX]

[DOI]

J. Parallel Distributed Comput., 2017

An Error Detection and Correction Framework for Connectomics.

[BibT_eX]

[DOI]

Jonathan Zung

Ignacio Tartavull

CoRR, 2017

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

[BibT_eX]

[DOI]

Jonathan Zung

CoRR, 2017

Superhuman Accuracy on the SNEMI3D Connectomics Challenge.

[BibT_eX]

[DOI]

CoRR, 2017

Deep Learning Improves Template Matching by Normalized Cross Correlation.

[BibT_eX]

[DOI]

CoRR, 2017

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

[BibT_eX]

[DOI]

Ignacio Arganda-Carreras

Verena Kaynig

Curtis Rueden

Kevin W. Eliceiri

Johannes E. Schindelin

Albert Cardona

Bioinform., 2017

An Error Detection and Correction Framework for Connectomics.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

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

[BibT_eX]

[DOI]

Proceedings of the International Conference on Supercomputing, 2017

2016

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

[BibT_eX]

[DOI]

CoRR, 2016

ZNN<i>i</i>: maximizing the inference throughput of 3D convolutional networks on CPUs and GPUs.

[BibT_eX]

[DOI]

Proceedings of the International Conference for High Performance Computing, 2016

Automatic Neuron Detection in Calcium Imaging Data Using Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

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

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016

2015

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

[BibT_eX]

[DOI]

CoRR, 2015

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

[BibT_eX]

[DOI]

CoRR, 2015

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2011

Learning to Agglomerate Superpixel Hierarchies.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010

Convolutional Networks Can Learn to Generate Affinity Graphs for Image Segmentation.

[BibT_eX]

[DOI]

Neural Comput., 2010

Boundary Learning by Optimization with Topological Constraints.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Operant Matching as a Nash Equilibrium of an Intertemporal Game.

[BibT_eX]

[DOI]

Yonatan Loewenstein

Drazen Prelec

Neural Comput., 2009

Maximin affinity learning of image segmentation.

[BibT_eX]

[DOI]

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

Natural Image Denoising with Convolutional Networks.

[BibT_eX]

[DOI]

Viren Jain

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007

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

[BibT_eX]

[DOI]

Dezhe Z. Jin

Fethi M. Ramazanoglu

J. Comput. Neurosci., 2007

Supervised Learning of Image Restoration with Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

2006

Neural voting machines.

[BibT_eX]

[DOI]

Whitman Richards

Galen Pickard

Neural Networks, 2006

2005

Learning Curves for Stochastic Gradient Descent in Linear Feedforward Networks.

[BibT_eX]

[DOI]

Justin Werfel

Neural Comput., 2005

Representing Part-Whole Relationships in Recurrent Neural Networks.

[BibT_eX]

[DOI]

Viren Jain

Valentin P. Zhigulin

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

2004

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

[BibT_eX]

[DOI]

Brett D. Mensh

Justin Werfel

IEEE Trans. Biomed. Eng., 2004

Stochastic policy gradient reinforcement learning on a simple 3D biped.

[BibT_eX]

[DOI]

Russ Tedrake

Teresa Weirui Zhang

Proceedings of the 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems, Sendai, Japan, September 28, 2004

Actuating a Simple 3D Passive Dynamic Walker.

[BibT_eX]

[DOI]

Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004

2003

Equivalence of Backpropagation and Contrastive Hebbian Learning in a Layered Network.

[BibT_eX]

[DOI]

Neural Comput., 2003

Permitted and Forbidden Sets in Symmetric Threshold-Linear Networks.

[BibT_eX]

[DOI]

Jean-Jacques E. Slotine

Neural Comput., 2003

2002

Selectively Grouping Neurons in Recurrent Networks of Lateral Inhibition.

[BibT_eX]

[DOI]

Neural Comput., 2002

2001

A theory of neural integration in the head-direction system.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

2000

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

[BibT_eX]

[DOI]

J. Comput. Neurosci., 2000

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

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Algorithms for Non-negative Matrix Factorization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Permitted and Forbidden Sets in Symmetric Threshold-Linear Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

1999

Spike-based Learning Rules and Stabilization of Persistent Neural Activity.

[BibT_eX]

[DOI]

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

Learning in Intelligent Embedded Systems.

[BibT_eX]

[DOI]

Proceedings of the USENIX Workshop on Embedded Systems 1999, 1999

1998

Continuous attractors and oculomotor control.

[BibT_eX]

[DOI]

Neural Networks, 1998

1997

Selective Sampling Using the Query by Committee Algorithm.

[BibT_eX]

[DOI]

Mach. Learn., 1997

The Rectified Gaussian Distribution.

[BibT_eX]

[DOI]

Nicholas D. Socci

Proceedings of the Advances in Neural Information Processing Systems 10, 1997

Minimax and Hamiltonian Dynamics of Excitatory-Inhibitory Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 10, 1997

Learning Continuous Attractors in Recurrent Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 10, 1997

Learning Generative Models with the Up-Propagation Algorithm.

[BibT_eX]

[DOI]

Jong-Hoon Oh

Proceedings of the Advances in Neural Information Processing Systems 10, 1997

A Neural Network Based Head Tracking System.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 10, 1997

1996

Rigorous Learning Curve Bounds from Statistical Mechanics.

[BibT_eX]

[DOI]

Mach. Learn., 1996

Unsupervised Learning by Convex and Conic Coding.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 9, 1996

1995

Learning from a Population of Hypotheses.

[BibT_eX]

[DOI]

Michael J. Kearns

Mach. Learn., 1995

1994

On-line Learning of Dichotomies.

[BibT_eX]

[DOI]

N. Barkai

Haim Sompolinsky

Proceedings of the Advances in Neural Information Processing Systems 7, 1994

1992

Information, Prediction, and Query by Committee.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992

Query by Committee.

[BibT_eX]

[DOI]

Manfred Opper

Haim Sompolinsky

Proceedings of the Fifth Annual ACM Conference on Computational Learning Theory, 1992

1991

Learning Curves in Large Neural Networks.

[BibT_eX]

[DOI]