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Fingerprint Dive into the research topics where H. Sebastian Seung is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Neurons Medicine & Life Sciences
Learning Medicine & Life Sciences
learning Physics & Astronomy
Connectome Medicine & Life Sciences
Brain Medicine & Life Sciences
neurons Physics & Astronomy
Synapses Medicine & Life Sciences
Program processors Engineering & Materials Science

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Projects 2014 2021

Research Output 1988 2020

PZnet: Efficient 3D ConvNet Inference on Manycore CPUs

Popovych, S., Buniatyan, D., Zlateski, A., Li, K. & Seung, H. S., Jan 1 2020, Advances in Computer Vision - Proceedings of the 2019 Computer Vision Conference CVC. Kapoor, S. & Arai, K. (eds.). Springer Verlag, p. 369-383 15 p. (Advances in Intelligent Systems and Computing; vol. 943).

Princeton University

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Program processors
Convolution
Magnetic resonance imaging
Image analysis
Microscopic examination

Weakly Supervised Deep Metric Learning for Template Matching

Buniatyan, D., Popovych, S., Ih, D., Macrina, T., Zung, J. & Seung, H. S., Jan 1 2020, Advances in Computer Vision - Proceedings of the 2019 Computer Vision Conference CVC. Kapoor, S. & Arai, K. (eds.). Springer Verlag, p. 39-58 20 p. (Advances in Intelligent Systems and Computing; vol. 943).

Princeton University

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Template matching
Supervised learning
Bandpass filters
Learning algorithms
Computer vision
1 Citation (Scopus)

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

Lee, K., Turner, N., Macrina, T., Wu, J., Lu, R. & Seung, H. S., Apr 2019, In : Current Opinion in Neurobiology. 55, p. 188-198 11 p.

Princeton University

Research output: Contribution to journalReview article

Electron Microscopy
Neuronal Plasticity
Automation
Brain
Synapses

Learning metric graphs for neuron segmentation in electron microscopy images

Luther, K. & Seung, H. S., Apr 2019, ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 244-248 5 p. 8759576. (Proceedings - International Symposium on Biomedical Imaging; vol. 2019-April).

Princeton University

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Electron microscopy
Neurons
Electron Microscopy
Learning
Noise

Reconstructing neuronal anatomy from whole-brain images

Gornet, J., Venkataraju, K. U., Narasimhan, A., Turner, N., Lee, K., Seung, H. S., Osten, P. & Sumbul, U., Apr 2019, ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 218-222 5 p. 8759197. (Proceedings - International Symposium on Biomedical Imaging; vol. 2019-April).

Princeton University

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Brain
Anatomy
Microscopy
Light
Neuroanatomy