H Sebastian Seung
H Sebastian Seung
Professor, Princeton Neuroscience Institute and Computer Science Dept.
Verified email at princeton.edu
Title
Cited by
Cited by
Year
Learning the parts of objects by non-negative matrix factorization
DD Lee, HS Seung
Nature 401 (6755), 788-791, 1999
110561999
Algorithms for non-negative matrix factorization
DD Lee, HS Seung
Advances in neural information processing systems, 556-562, 2001
83842001
Query by committee
HS Seung, M Opper, H Sompolinsky
Proceedings of the fifth annual workshop on Computational learning theory …, 1992
14821992
Selective sampling using the query by committee algorithm
Y Freund, HS Seung, E Shamir, N Tishby
Machine learning 28 (2-3), 133-168, 1997
12471997
The manifold ways of perception
HS Seung, DD Lee
science 290 (5500), 2268-2269, 2000
10162000
Theory of melted flux liquids
DR Nelson, HS Seung
Physical Review B 39 (13), 9153, 1989
7871989
Digital selection and analogue amplification coexist in a cortex-inspired silicon circuit
RHR Hahnloser, R Sarpeshkar, MA Mahowald, RJ Douglas, HS Seung
Nature 405 (6789), 947-951, 2000
7352000
Connectomic reconstruction of the inner plexiform layer in the mouse retina
M Helmstaedter, KL Briggman, SC Turaga, V Jain, HS Seung, W Denk
Nature 500 (7461), 168-174, 2013
6742013
Simple models for reading neuronal population codes
HS Seung, H Sompolinsky
Proceedings of the National Academy of Sciences 90 (22), 10749-10753, 1993
5901993
Saturated reconstruction of a volume of neocortex
N Kasthuri, KJ Hayworth, DR Berger, RL Schalek, JA Conchello, ...
Cell 162 (3), 648-661, 2015
5272015
Statistical mechanics of learning from examples
HS Seung, H Sompolinsky, N Tishby
Physical review A 45 (8), 6056, 1992
5141992
How the brain keeps the eyes still
HS Seung
Proceedings of the National Academy of Sciences 93 (23), 13339-13344, 1996
4451996
Defects in flexible membranes with crystalline order
HS Seung, DR Nelson
Physical Review A 38 (2), 1005, 1988
4391988
Serial two-photon tomography for automated ex vivo mouse brain imaging
T Ragan, LR Kadiri, KU Venkataraju, K Bahlmann, J Sutin, J Taranda, ...
Nature methods 9 (3), 255, 2012
3842012
Trainable Weka Segmentation: a machine learning tool for microscopy pixel classification
I Arganda-Carreras, V Kaynig, C Rueden, KW Eliceiri, J Schindelin, ...
Bioinformatics 33 (15), 2424-2426, 2017
3712017
Space–time wiring specificity supports direction selectivity in the retina
JS Kim, MJ Greene, A Zlateski, K Lee, M Richardson, SC Turaga, ...
Nature 509 (7500), 331-336, 2014
3552014
Advances in Neural Information Processing Systems 16: Proceedings of the 2003 Conference
S Thrun, LK Saul, B Schölkopf
MIT press, 2004
3442004
Learning in spiking neural networks by reinforcement of stochastic synaptic transmission
HS Seung
Neuron 40 (6), 1063-1073, 2003
3432003
Stability of the memory of eye position in a recurrent network of conductance-based model neurons
HS Seung, DD Lee, BY Reis, DW Tank
Neuron 26 (1), 259-271, 2000
3372000
Convolutional networks can learn to generate affinity graphs for image segmentation
SC Turaga, JF Murray, V Jain, F Roth, M Helmstaedter, K Briggman, ...
Neural computation 22 (2), 511-538, 2010
3132010
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