H. Sebastian Seung

	2009
34		Yonatan Loewenstein, Drazen Prelec, H. Sebastian Seung: Operant Matching as a Nash Equilibrium of an Intertemporal Game. Neural Computation 21(10): 2755-2773 (2009)
	2008
33		Viren Jain, H. Sebastian Seung: Natural Image Denoising with Convolutional Networks. NIPS 2008: 769-776
	2007
32		Viren Jain, Joseph F. Murray, Fabian Roth, Srinivas Turaga, Valentin P. Zhigulin, Kevin L. Briggman, Moritz Helmstaedter, Winfried Denk, H. Sebastian Seung: Supervised Learning of Image Restoration with Convolutional Networks. ICCV 2007: 1-8
31		Dezhe Z. Jin, Fethi M. Ramazanoglu, H. Sebastian Seung: Intrinsic bursting enhances the robustness of a neural network model of sequence generation by avian brain area HVC. Journal of Computational Neuroscience 23(3): 283-299 (2007)
	2006
30		Whitman Richards, H. Sebastian Seung, Galen Pickard: Neural voting machines. Neural Networks 19(8): 1161-1167 (2006)
	2005
29		Viren Jain, Valentin P. Zhigulin, H. Sebastian Seung: Representing Part-Whole Relationships in Recurrent Neural Networks. NIPS 2005
28		Justin Werfel, Xiaohui Xie, H. Sebastian Seung: Learning Curves for Stochastic Gradient Descent in Linear Feedforward Networks. Neural Computation 17(12): 2699-2718 (2005)
	2004
27		Russ Tedrake, Teresa Weirui Zhang, Ming-fai Fong, H. Sebastian Seung: Actuating a Simple 3D Passive Dynamic Walker. ICRA 2004: 4656-4661
	2003
26		Justin Werfel, Xiaohui Xie, H. Sebastian Seung: Learning Curves for Stochastic Gradient Descent in Linear Feedforward Networks. NIPS 2003
25		Xiaohui Xie, H. Sebastian Seung: Equivalence of Backpropagation and Contrastive Hebbian Learning in a Layered Network. Neural Computation 15(2): 441-454 (2003)
24		Richard H. R. Hahnloser, H. Sebastian Seung, Jean-Jacques E. Slotine: Permitted and Forbidden Sets in Symmetric Threshold-Linear Networks. Neural Computation 15(3): 621-638 (2003)
	2002
23		Xiaohui Xie, Richard H. R. Hahnloser, H. Sebastian Seung: Selectively Grouping Neurons in Recurrent Networks of Lateral Inhibition. Neural Computation 14(11): 2627-2646 (2002)
	2001
22		Richard H. R. Hahnloser, Xiaohui Xie, H. Sebastian Seung: A theory of neural integration in the head-direction system. NIPS 2001: 221-228
	2000
21		Richard H. R. Hahnloser, H. Sebastian Seung: Permitted and Forbidden Sets in Symmetric Threshold-Linear Networks. NIPS 2000: 217-223
20		Xiaohui Xie, Richard H. R. Hahnloser, H. Sebastian Seung: Learning Winner-take-all Competition Between Groups of Neurons in Lateral Inhibitory Networks. NIPS 2000: 350-356
19		Daniel D. Lee, H. Sebastian Seung: Algorithms for Non-negative Matrix Factorization. NIPS 2000: 556-562
18		H. Sebastian Seung, Daniel D. Lee, Ben Y. Reis, David W. Tank: The Autapse: A Simple Illustration of Short-Term Analog Memory Storage by Tuned Synaptic Feedback. Journal of Computational Neuroscience 9(2): 171-185 (2000)
	1999
17		Xiaohui Xie, H. Sebastian Seung: Spike-based Learning Rules and Stabilization of Persistent Neural Activity. NIPS 1999: 199-208
	1998
16		H. Sebastian Seung: Continuous attractors and oculomotor control. Neural Networks 11(7-8): 1253-1258 (1998)
	1997
15		Daniel D. Lee, H. Sebastian Seung: A Neural Network Based Head Tracking System. NIPS 1997
14		H. Sebastian Seung: Learning Continuous Attractors in Recurrent Networks. NIPS 1997
13		Jong-Hoon Oh, H. Sebastian Seung: Learning Generative Models with the Up-Propagation Algorithm. NIPS 1997
12		H. Sebastian Seung, Tom J. Richardson, J. C. Lagarias, John J. Hopfield: Minimax and Hamiltonian Dynamics of Excitatory-Inhibitory Networks. NIPS 1997
11		Nicholas D. Socci, Daniel D. Lee, H. Sebastian Seung: The Rectified Gaussian Distribution. NIPS 1997
10		Yoav Freund, H. Sebastian Seung, Eli Shamir, Naftali Tishby: Selective Sampling Using the Query by Committee Algorithm. Machine Learning 28(2-3): 133-168 (1997)
	1996
9		Daniel D. Lee, H. Sebastian Seung: Unsupervised Learning by Convex and Conic Coding. NIPS 1996: 515-521
8		David Haussler, Michael J. Kearns, H. Sebastian Seung, Naftali Tishby: Rigorous Learning Curve Bounds from Statistical Mechanics. Machine Learning 25(2-3): 195-236 (1996)
	1995
7		Michael J. Kearns, H. Sebastian Seung: Learning from a Population of Hypotheses. Machine Learning 18(2-3): 255-276 (1995)
	1994
6		David Haussler, H. Sebastian Seung, Michael J. Kearns, Naftali Tishby: Rigorous Learning Curve Bounds from Statistical Mechanics. COLT 1994: 76-87
5		N. Barkai, H. Sebastian Seung, Haim Sompolinsky: On-line Learning of Dichotomies. NIPS 1994: 303-310
	1993
4		Michael J. Kearns, H. Sebastian Seung: Learning from a Population of Hypotheses. COLT 1993: 101-110
	1992
3		H. Sebastian Seung, Manfred Opper, Haim Sompolinsky: Query by Committee. COLT 1992: 287-294
2		Yoav Freund, H. Sebastian Seung, Eli Shamir, Naftali Tishby: Information, Prediction, and Query by Committee. NIPS 1992: 483-490
	1991
1		H. Sebastian Seung, Haim Sompolinsky, Naftali Tishby: Learning Curves in Large Neural Networks. COLT 1991: 112-127

Coauthor Index

1	N. Barkai	[5]
2	Kevin L. Briggman	[32]
3	Winfried Denk	[32]
4	Ming-fai Fong	[27]
5	Yoav Freund	[2] [10]
6	Richard H. R. Hahnloser	[20] [21] [22] [23] [24]
7	David Haussler	[6] [8]
8	Moritz Helmstaedter	[32]
9	John J. Hopfield	[12]
10	Viren Jain	[29] [32] [33]
11	Dezhe Z. Jin	[31]
12	Michael J. Kearns	[4] [6] [7] [8]
13	Jeffrey C. Lagarias (J. C. Lagarias)	[12]
14	Daniel D. Lee	[9] [11] [15] [18] [19]
15	Yonatan Loewenstein	[34]
16	Joseph F. Murray	[32]
17	Jong-Hoon Oh	[13]
18	Manfred Opper	[3]
19	Galen Pickard	[30]
20	Drazen Prelec	[34]
21	Fethi M. Ramazanoglu	[31]
22	Ben Y. Reis	[18]
23	Whitman Richards	[30]
24	Tom J. Richardson	[12]
25	Fabian Roth	[32]
26	Eli Shamir	[2] [10]
27	Jean-Jacques E. Slotine	[24]
28	Nicholas D. Socci	[11]
29	Haim Sompolinsky	[1] [3] [5]
30	David W. Tank	[18]
31	Russ Tedrake	[27]
32	Naftali Tishby	[1] [2] [6] [8] [10]
33	Srinivas Turaga	[32]
34	Justin Werfel	[26] [28]
35	Xiaohui Xie	[17] [20] [22] [23] [25] [26] [28]
36	Teresa Weirui Zhang	[27]
37	Valentin P. Zhigulin	[29] [32]

Colors in the list of coauthors