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H. Sebastian Seung

H. Sebastian Seung

D-Index & Metrics

Engineering and Technology

D-Index
70
Citations
47877
World Ranking
1009
National Ranking
342

Overview

H. Sebastian Seung is a researcher affiliated with Princeton University in the United States. Their work primarily spans the fields of neuroscience and biochemistry, genetics, and molecular biology, with significant contributions to subfields including cellular and molecular neuroscience, cognitive neuroscience, biophysics, structural biology, and molecular biology.

Their research covers a variety of topics related to neural dynamics and brain function, neurobiology and insect physiology, neuroscience and neuropharmacology, advanced electron microscopy techniques, cell image analysis, photoreceptor and optogenetics research, as well as neuroinflammation and neurodegeneration mechanisms.

Seung has published extensively, with frequent appearances in venues such as bioRxiv (Cold Spring Harbor Laboratory), Nature, Zenodo (CERN European Organization for Nuclear Research), Nature Methods, and eLife. Among their recent papers are:

  • Neuronal wiring diagram of an adult brain, 2024, Nature
  • FlyWire: online community for whole-brain connectomics, 2021, Nature Methods
  • Whole-brain annotation and multi-connectome cell typing of Drosophila, 2024, Nature
  • Reconstruction of neocortex: Organelles, compartments, cells, circuits, and activity, 2022, Cell
  • The Mind of a Mouse, 2020, Cell

Their frequent collaborators include Nico Kemnitz, Sven Dorkenwald, William Silversmith, Jingpeng Wu, and Thomas Macrina, reflecting a strong network of partnerships throughout their research career.

Best Publications

  • Learning the parts of objects by non-negative matrix factorization

    Daniel D. Lee;H. Sebastian Seung;H. Sebastian Seung

  • Algorithms for Non-negative Matrix Factorization

    Daniel D. Lee;H. Sebastian Seung

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

    Ignacio Arganda-Carreras;Ignacio Arganda-Carreras;Verena Kaynig;Curtis Rueden;Kevin W. Eliceiri

  • Query by committee

    H. S. Seung;M. Opper;H. Sompolinsky

  • Digital selection and analogue amplification coexist in a cortex-inspired silicon circuit

    R. H R Hahnloser;R. Sarpeshkar;R. Sarpeshkar;M. A. Mahowald;R. J. Douglas

  • Selective Sampling Using the Query by Committee Algorithm

    Yoav Freund;H. Sebastian Seung;Eli Shamir;Naftali Tishby

  • The manifold ways of perception

    H. Sebastian Seung;Daniel D. Lee

  • Serial two-photon tomography for automated ex vivo mouse brain imaging

    Timothy Ragan;Lolahon R Kadiri;Kannan Umadevi Venkataraju;Karsten Bahlmann

  • How the brain keeps the eyes still.

    Unknown

  • Space–time wiring specificity supports direction selectivity in the retina

    Jinseop S. Kim;Matthew J. Greene;Aleksandar Zlateski;Kisuk Lee

  • Simple, Scalable Proteomic Imaging for High-Dimensional Profiling of Intact Systems

    Evan Murray;Jae Hun Cho;Daniel Goodwin;Taeyun Ku;Taeyun Ku

  • Convolutional networks can learn to generate affinity graphs for image segmentation

    Srinivas C. Turaga;Joseph F. Murray;Viren Jain;Fabian Roth

  • Learning in spiking neural networks by reinforcement of stochastic synaptic transmission.

    H.Sebastian Seung

  • Stability of the memory of eye position in a recurrent network of conductance-based model neurons.

    H.Sebastian Seung;H.Sebastian Seung;Daniel D. Lee;Ben Y. Reis;David W. Tank

  • Crowdsourcing the creation of image segmentation algorithms for connectomics

    Ignacio Arganda-Carreras;Srinivas C. Turaga;Daniel R. Berger;Dan Cireşan

  • Mapping Social Behavior-Induced Brain Activation at Cellular Resolution in the Mouse

    Yongsoo Kim;Kannan Umadevi Venkataraju;Kith Pradhan;Carolin Mende

  • A solution to the single-question crowd wisdom problem

    Dražen Prelec;H. Sebastian Seung;John McCoy

  • Motor Learning with Unstable Neural Representations

    Uri Rokni;Andrew G. Richardson;Emilio Bizzi;Emilio Bizzi;H. Sebastian Seung

  • Supervised Learning of Image Restoration with Convolutional Networks

    V. Jain;J.F. Murray;F. Roth;S. Turaga

  • Digital Museum of Retinal Ganglion Cells with Dense Anatomy and Physiology

    J. Alexander Bae;Shang Mu;Jinseop S. Kim;Nicholas L. Turner

  • Superhuman Accuracy on the SNEMI3D Connectomics Challenge.

    Kisuk Lee;Jonathan Zung;Peter H. Li;Viren Jain

  • Linear-Nonlinear-Poisson Models of Primate Choice Dynamics

    Greg S. Corrado;Leo P. Sugrue;H. Sebastian Seung;H. Sebastian Seung;William T. Newsome

  • Hierarchical connectivity and connection-specific dynamics in the corticospinal-corticostriatal microcircuit in mouse motor cortex.

    Taro Kiritani;Ian R. Wickersham;H. Sebastian Seung;Gordon M. G. Shepherd

  • Permitted and Forbidden Sets in Symmetric Threshold-Linear Networks

    Richard H. R. Hahnloser;H. Sebastian Seung

  • Unsupervised Learning by Convex and Conic Coding

    Daniel D. Lee;H. Sebastian Seung

Frequent Co-Authors

Moritz Helmstaedter
Moritz Helmstaedter Max Planck Society
Jeff W. Lichtman
Jeff W. Lichtman Harvard University
David W. Tank
David W. Tank Princeton University
Richard H. R. Hahnloser
Richard H. R. Hahnloser University of Zurich
Andreas S. Tolias
Andreas S. Tolias Baylor College of Medicine
Pavel Osten
Pavel Osten Cold Spring Harbor Laboratory
Xiaohui Xie
Xiaohui Xie University of California, Irvine
Albert Cardona
Albert Cardona University of Cambridge

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