Hyunjune Sebastian Seung
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Hyunjune Sebastian Seungcomputer-science Degrees
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Computational Neuroscience
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Computer Science Physics
Why Is Hyunjune Sebastian Seung Influential?
(Suggest an Edit or Addition)Hyunjune Sebastian Seung's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Learning the parts of objects by non-negative matrix factorization (1999) (12224)
- Algorithms for Non-negative Matrix Factorization (2000) (8165)
- Query by committee (1992) (1762)
- Trainable Weka Segmentation: a machine learning tool for microscopy pixel classification (2017) (1191)
- Selective Sampling Using the Query by Committee Algorithm (1997) (1184)
- Digital selection and analogue amplification coexist in a cortex-inspired silicon circuit (2000) (1100)
- Connectomic reconstruction of the inner plexiform layer in the mouse retina (2013) (874)
- Natural Image Denoising with Convolutional Networks (2008) (851)
- Saturated Reconstruction of a Volume of Neocortex (2015) (820)
- The Manifold Ways of Perception (2000) (814)
- Simple models for reading neuronal population codes. (1993) (622)
- How the brain keeps the eyes still. (1996) (502)
- Space-time wiring specificity supports direction selectivity in the retina (2014) (438)
- Convolutional Networks Can Learn to Generate Affinity Graphs for Image Segmentation (2010) (372)
- Stability of the Memory of Eye Position in a Recurrent Network of Conductance-Based Model Neurons (2000) (371)
- Serial two-photon tomography: an automated method for ex-vivo mouse brain imaging (2011) (363)
- Learning in Spiking Neural Networks by Reinforcement of Stochastic Synaptic Transmission (2003) (353)
- Distinct Profiles of Myelin Distribution Along Single Axons of Pyramidal Neurons in the Neocortex (2014) (274)
- Crowdsourcing the creation of image segmentation algorithms for connectomics (2015) (245)
- Supervised Learning of Image Restoration with Convolutional Networks (2007) (234)
- Mapping social behavior-induced brain activation at cellular resolution in the mouse. (2014) (228)
- Motor Learning with Unstable Neural Representations (2007) (223)
- Permitted and Forbidden Sets in Symmetric Threshold-Linear Networks (2003) (216)
- In vivo intracellular recording and perturbation of persistent activity in a neural integrator (2001) (191)
- Superhuman Accuracy on the SNEMI3D Connectomics Challenge (2017) (186)
- Linear-Nonlinear-Poisson models of primate choice dynamics. (2005) (175)
- Robust persistent neural activity in a model integrator with multiple hysteretic dendrites per neuron. (2003) (170)
- Learning in neural networks by reinforcement of irregular spiking. (2004) (168)
- Machines that learn to segment images: a crucial technology for connectomics (2010) (167)
- Model of birdsong learning based on gradient estimation by dynamic perturbation of neural conductances. (2007) (162)
- Equivalence of Backpropagation and Contrastive Hebbian Learning in a Layered Network (2003) (156)
- Hierarchical Connectivity and Connection-Specific Dynamics in the Corticospinal–Corticostriatal Microcircuit in Mouse Motor Cortex (2012) (156)
- A genetic and computational approach to structurally classify neuronal types (2014) (153)
- BCI competition 2003-data set Ia: combining gamma-band power with slow cortical potentials to improve single-trial classification of electroencephalographic signals (2004) (149)
- Production of glycoprotein-deleted rabies viruses for monosynaptic tracing and high-level gene expression in neurons (2010) (148)
- Boundary Learning by Optimization with Topological Constraints (2010) (146)
- Digital Museum of Retinal Ganglion Cells with Dense Anatomy and Physiology (2017) (145)
- Unsupervised Learning by Convex and Conic Coding (1996) (143)
- Reading the Book of Memory: Sparse Sampling versus Dense Mapping of Connectomes (2009) (141)
- Maximin affinity learning of image segmentation (2009) (132)
- Tilt aftereffect and adaptation-induced changes in orientation tuning in visual cortex. (2005) (126)
- The Rectified Gaussian Distribution (1997) (125)
- Anatomy and discharge properties of pre-motor neurons in the goldfish medulla that have eye-position signals during fixations. (2000) (120)
- Information, Prediction, and Query by Committee (1992) (117)
- Neuronal Cell Types and Connectivity: Lessons from the Retina (2014) (116)
- Double-ring network model of the head-direction system. (2002) (113)
- Gradient learning in spiking neural networks by dynamic perturbation of conductances. (2006) (113)
- VAST (Volume Annotation and Segmentation Tool): Efficient Manual and Semi-Automatic Labeling of Large 3D Image Stacks (2018) (111)
- Pervasive Synaptic Branch Removal in the Mammalian Neuromuscular System at Birth (2012) (108)
- Rigorous Learning Curve Bounds from Statistical Mechanics (1994) (108)
- The Autapse: A Simple Illustration of Short-Term Analog Memory Storage by Tuned Synaptic Feedback (2004) (105)
- Operant matching is a generic outcome of synaptic plasticity based on the covariance between reward and neural activity (2006) (104)
- Learning Curves for Stochastic Gradient Descent in Linear Feedforward Networks (2003) (99)
- Learning Continuous Attractors in Recurrent Networks (1997) (97)
- Temporal sparseness of the premotor drive is important for rapid learning in a neural network model of birdsong. (2004) (97)
- Continuous attractors and oculomotor control (1998) (97)
- Noncontact measurement of nerve displacement during action potential with a dual-beam low-coherence interferometer. (2004) (94)
- Analogous Convergence of Sustained and Transient Inputs in Parallel On and Off Pathways for Retinal Motion Computation (2016) (93)
- Intrinsic bursting enhances the robustness of a neural network model of sequence generation by avian brain area HVC (2007) (93)
- The Mind of a Mouse (2020) (86)
- FlyWire: Online community for whole-brain connectomics (2020) (84)
- Automatic Neuron Detection in Calcium Imaging Data Using Convolutional Networks (2016) (79)
- Selectively Grouping Neurons in Recurrent Networks of Lateral Inhibition (2002) (79)
- Trainable Weka Segmentation: A Machine Learning Tool for Microscopy Image Segmentation (2014) (71)
- Olfactory projectome in the zebrafish forebrain revealed by genetic single-neuron labelling (2014) (71)
- Learning to Agglomerate Superpixel Hierarchies (2011) (70)
- Recursive Training of 2D-3D Convolutional Networks for Neuronal Boundary Prediction (2015) (70)
- Laminarly Orthogonal Excitation of Fast-Spiking and Low-Threshold-Spiking Interneurons in Mouse Motor Cortex (2012) (69)
- Development of High-Throughput, High-Resolution 3D Reconstruction of Large-Volume Biological Tissue Using Automated Tape Collection Ultramicrotomy and Scanning Electron Microscopy (2011) (69)
- Neuroscience: Towards functional connectomics (2011) (68)
- Binary and analog variation of synapses between cortical pyramidal neurons (2019) (65)
- Spike-based Learning Rules and Stabilization of Persistent Neural Activity (1999) (65)
- Electron Microscopic Reconstruction of Functionally Identified Cells in a Neural Integrator (2017) (61)
- Transgenic Targeting of Recombinant Rabies Virus Reveals Monosynaptic Connectivity of Specific Neurons (2010) (58)
- Imaging voltage-dependent cell motions with heterodyne Mach-Zehnder phase microscopy. (2007) (56)
- Plasticity and tuning by visual feedback of the stability of a neural integrator. (2004) (52)
- Linear regression of eye velocity on eye position and head velocity suggests a common oculomotor neural integrator. (2002) (51)
- Fast computation with spikes in a recurrent neural network. (2002) (46)
- ZNN -- A Fast and Scalable Algorithm for Training 3D Convolutional Networks on Multi-core and Many-Core Shared Memory Machines (2015) (45)
- Correlated Discharge among Cell Pairs within the Oculomotor Horizontal Velocity-to-Position Integrator (2003) (44)
- Axonal and subcellular labeling using modified rabies viral vectors (2013) (41)
- Image Segmentation by Size-Dependent Single Linkage Clustering of a Watershed Basin Graph (2015) (41)
- Light-directed electrical stimulation of neurons cultured on silicon wafers. (2005) (40)
- An Error Detection and Correction Framework for Connectomics (2017) (38)
- Convolutional nets for reconstructing neural circuits from brain images acquired by serial section electron microscopy (2019) (37)
- Chandelier cell anatomy and function reveal a variably distributed but common signal (2020) (36)
- Multiscale and multimodal reconstruction of cortical structure and function (2020) (36)
- Reconstruction of neocortex: Organelles, compartments, cells, circuits, and activity (2022) (35)
- The neural basis for a persistent internal state in Drosophila females (2020) (33)
- Learning from a Population of Hypotheses (1993) (31)
- Minimax and Hamiltonian Dynamics of Excitatory-Inhibitory Networks (1997) (30)
- Plasticity and tuning of the time course of analog persistent firing in a neural integrator. (2004) (28)
- Learning Generative Models with the Up-Propagation Algorithm (1997) (26)
- Automated computation of arbor densities: a step toward identifying neuronal cell types (2014) (26)
- ZNNi: Maximizing the Inference Throughput of 3D Convolutional Networks on CPUs and GPUs (2016) (26)
- Synaptic Partner Assignment Using Attentional Voxel Association Networks (2019) (25)
- correction: Digital selection and analogue amplification coexist in a cortex-inspired silicon circuit (2000) (25)
- Operant Matching as a Nash Equilibrium of an Intertemporal Game (2009) (25)
- Structure and function of axo-axonic inhibition (2021) (24)
- Q-Learning for Continuous Actions with Cross-Entropy Guided Policies (2019) (23)
- History dependence of rate covariation between neurons during persistent activity in an oculomotor integrator. (2003) (22)
- Half a century of Hebb (2000) (21)
- Oligodendrocyte precursor cells prune axons in the mouse neocortex (2021) (20)
- Petascale neural circuit reconstruction: automated methods (2021) (18)
- Neural Voting Machines (2006) (18)
- Learning Winner-take-all Competition Between Groups of Neurons in Lateral Inhibitory Networks (2000) (18)
- Neural network models of birdsong production , learning , and coding (2007) (17)
- Chunkflow: hybrid cloud processing of large 3D images by convolutional nets (2021) (16)
- Rigorous learning curve bounds from statistical mechanics (1994) (16)
- A correlation game for unsupervised learning yields computational interpretations of Hebbian excitation, anti-Hebbian inhibition, and synapse elimination (2017) (16)
- Learning in Intelligent Embedded Systems (1999) (15)
- Nonlinear network models of the oculomotor integrator (1997) (15)
- Siamese Encoding and Alignment by Multiscale Learning with Self-Supervision (2019) (14)
- Compile-time optimized and statically scheduled N-D convnet primitives for multi-core and many-core (Xeon Phi) CPUs (2017) (14)
- Learning curves in large neural networks (1991) (12)
- Chunkflow: Distributed Hybrid Cloud Processing of Large 3D Images by Convolutional Nets (2019) (11)
- Learning and Segmenting Dense Voxel Embeddings for 3D Neuron Reconstruction (2019) (10)
- Predicting modular functions and neural coding of behavior from a synaptic wiring diagram (2020) (10)
- On-line Learning of Dichotomies (1994) (10)
- Group report: Microcircuits, molecules, and motivated behavior--Microcircuits in the striatum (2006) (10)
- Learning Dense Voxel Embeddings for 3D Neuron Reconstruction (2019) (10)
- Laser-evoked synaptic transmission in cultured hippocampal neurons expressing channelrhodopsin-2 delivered by adeno-associated virus (2009) (10)
- Learning Metric Graphs for Neuron Segmentation in Electron Microscopy Images (2019) (9)
- Deep Learning Improves Template Matching by Normalized Cross Correlation (2017) (9)
- Reconstructing Neuronal Anatomy from Whole-Brain Images (2019) (9)
- Lentiviral vectors for retrograde delivery of recombinases and transactivators. (2015) (9)
- Pixels to Plans: Learning Non-Prehensile Manipulation by Imitating a Planner (2019) (9)
- Program Synthesis Through Reinforcement Learning Guided Tree Search (2018) (8)
- Quantitative Census of Local Somatic Features in Mouse Visual Cortex (2022) (7)
- Scaling Laws in Learning of Classification Tasks 17 MAY 1993 (7)
- Scalable training of 3D convolutional networks on multi- and many-cores (2017) (7)
- PZnet: Efficient 3D ConvNet Inference on Manycore CPUs (2019) (7)
- Reward Prediction Error as an Exploration Objective in Deep RL (2019) (6)
- A Neural Network Based Head Tracking System (1997) (6)
- Weakly Supervised Deep Metric Learning for Template Matching (2019) (6)
- Large-scale image segmentation based on distributed clustering algorithms (2021) (6)
- Oligodendrocyte precursor cells ingest axons in the mouse neocortex (2022) (6)
- QXplore: Q-learning Exploration by Maximizing Temporal Difference Error (2019) (5)
- In situ X-ray-assisted electron microscopy staining for large biological samples (2021) (5)
- Cell-type-specific inhibitory circuitry from a connectomic census of mouse visual cortex (2023) (5)
- ANNEALED THEORIES OF LEARNING (1995) (4)
- Unsupervised learning by a nonlinear network with Hebbian excitatory and anti-Hebbian inhibitory neurons (2018) (4)
- Convergence of gradient descent-ascent analyzed as a Newtonian dynamical system with dissipation (2019) (4)
- Resource Saturated Reconstruction of a Volume of Neocortex (3)
- Erratum: Connectomic reconstruction of the inner plexiform layer in the mouse retina (Nature (2013) 500 (168-174) DOI:10.1038/nature12346)) (2014) (3)
- 3D reconstruction of cell nuclei in a full Drosophila brain (2021) (3)
- NEURD: A mesh decomposition framework for automated proofreading and morphological analysis of neuronal EM reconstructions. (2023) (3)
- Two "correlation games" for a nonlinear network with Hebbian excitatory neurons and anti-Hebbian inhibitory neurons (2018) (3)
- Structural and functional diversity of a dense sample of retinal ganglion cells (2017) (3)
- Caesar: Segment-Wise Alignment Method for Solving Discontinuous Deformations (2020) (3)
- FlyWire: online community for whole-brain connectomics (2021) (3)
- Large-scale unsupervised discovery of excitatory morphological cell types in mouse visual cortex (2023) (3)
- Sample Variance Decay in Randomly Initialized ReLU Networks (2019) (3)
- Laser-evoked synaptic transmission in cultured hippocampal neurons channelrhodopsin-2 delivered by adeno-associated virus (2009) (2)
- Phase-referenced probe interferometer for biological surface profiling and displacement measurements. (2007) (2)
- Variance-Preserving Initialization Schemes Improve Deep Network Training: But Which Variance is Preserved? (2019) (2)
- Modularity and neural coding from a brainstem synaptic wiring diagram (2020) (2)
- ZNNi - Maximizing the Inference Throughput of 3D Convolutional Networks on Multi-Core CPUs and GPUs (2016) (2)
- Multiplicative Updates for Unsupervised and Contrastive Learning in Vision (2)
- 9.01 Introduction to Neuroscience, Fall 2004 (2004) (2)
- Sensitivity of Sparse Codes to Image Distortions (2022) (2)
- Tools for comprehensive reconstruction and analysis of Drosophila motor circuits (2022) (2)
- Differential heterodyne Mach-Zehnder interferometer for measurement of nanometer-scale motions in living cells (2006) (1)
- Abstracts of the 15th Annual Meeting of the Israel Society for Neuroscience Eilat, Israel, December 3–5, 2006 (2006) (1)
- Amplification , Attenuation , and Integration 3 4 (2002) (1)
- Supplemental Data Motor Learning with Unstable Neural Representations (2007) (1)
- Author response: Structure and function of axo-axonic inhibition (2021) (1)
- RealNeuralNetworks.jl: An Integrated Julia Package for Skeletonization, Morphological Analysis, and Synaptic Connectivity Analysis of Terabyte-Scale 3D Neural Segmentations (2022) (1)
- Probe-based and bifocal approaches for phase-referenced low coherence interferometry (2006) (1)
- A theory of neural integration in the head-direction system (2001) (1)
- 2006 Special Issue Neural voting machines (2006) (1)
- Connectomic reconstruction of the inner plexiform layer in the mouse retina (2013) (1)
- between reward and neural activity Operant matching is a generic outcome of synaptic plasticity based on the covariance (2006) (1)
- Multi-order Scaling of High-throughput Transmission Electron Microscopy. (2019) (1)
- Functional connectomics reveals general wiring rule in mouse visual cortex (2023) (1)
- MICrONS Layer 2/3 Data Tables (2020) (1)
- A theory of integration in the head-direction system (2002) (1)
- Erratum: A genetic and computational approach to structurally classify neuronal subtypes (2014) (1)
- Integrating EM and Patch-seq data: Synaptic connectivity and target specificity of predicted Sst transcriptomic types (2023) (1)
- Unsupervised learning by a "softened" correlation game: duality and convergence (2019) (1)
- Boundary Learning by Optimization with Topological Constraints Supplementary Material (2010) (1)
- Representing Part-Whole Relationships in Recurrent Neural Networks (2005) (1)
- Vapnik-chervonenkis Entropy of the Spherical (1996) (0)
- Cultured on Silicon Wafers Light-Directed Electrical Stimulation of Neurons (2005) (0)
- Orientation Tuning in Visual Cortex Tilt Aftereffect and Adaptation-Induced Changes in (2005) (0)
- Special nuclear layer contacts between starburst amacrine cells in the mouse retina (2023) (0)
- 9.641J / 8.594J Introduction to Neural Networks, Fall 2002 (2002) (0)
- Stacked unsupervised learning with a network architecture found by supervised meta-learning (2022) (0)
- Special Nuclear Layer Contacts Among Starburst Amacrine Cells in the Mouse Retina (2022) (0)
- Reading the Book of Memory: Sparse Sampling versus Dense Mapping of Connectomes (2009) (0)
- Tomassy Pyramidal Neurons in the Neocortex Distinct Profiles of Myelin Distribution Along Single Axons of (2014) (0)
- Analogous Convergence o f Sustained and Transient Inputs in Parallel On and Off Pathways for Retinal Motion Computation Graphical (2016) (0)
- Linear Network Models of the Oculomotor Integrators (1995) (0)
- profiles of myelin along single axons of pyramidal neurons in the neocortex. (0)
- Kernel similarity matching with Hebbian neural networks (2022) (0)
- Adeno-associated viruses for efficient delivery and expression of light-activated channelrhodopsin-2 protein in neurons (2007) (0)
- Eye-Position Signals During Fixations Neurons in the Goldfish Medulla That Have Anatomy and Discharge Properties of Pre-Motor (2015) (0)
- Reexamining the principle of mean-variance preservation for neural network initialization (2020) (0)
- Igneous: Distributed dense 3D segmentation meshing, neuron skeletonization, and hierarchical downsampling (2022) (0)
- NEURD: automated proofreading and feature extraction for connectomics (2023) (0)
- Learning from a population of hypotheses (2004) (0)
- The Rectiied Gaussian Distribution (0)
- Non-negative matrix factorization implemented by (anti-)Hebbian neural network (2015) (0)
- 9.29J / 8.261J Introduction to Computational Neuroscience, Spring 2002 (2002) (0)
- aser-evoked synaptic transmission in cultured hippocampal neurons xpressing channelrhodopsin-2 delivered by adeno-associated virus (2009) (0)
- Using Computational Methods and 3D Volume EM Reconstructions to Examine Interactions Between Microglia and Oligodendrocyte Precursor Cells in Mouse Cortex (2022) (0)
- Kernel similarity matching with Hebbian networks (2022) (0)
- A Fast Flexible Ink-Jet Printing Method for Patterning Networks of Neurons in Culture (2014) (0)
- Neural interferometry: first non-contact measurements of action potential-induced nerve swelling (2004) (0)
- PZnet: Efficient CPU ConvNet Inference Engine for 3D Medical Image Processing (2018) (0)
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What Schools Are Affiliated With Hyunjune Sebastian Seung?
Hyunjune Sebastian Seung is affiliated with the following schools:
