Peer-reviewed papers [ google scholar | pubmed ]


NECO2202 Nature500
Journal covers featuring our research.

JS Kim, MJ Greene, A Zlateski, K Lee, M Richardson, SC Turaga, M Purcaro, M Balkam, A Robinson, BF Behabadi, M Campos, W Denk, HS Seung & the EyeWirers (2014). Space-time wiring specificity supports direction selectivity in the retina. Nature, 509: 331-336.
[ link | pdf ]

SC Turaga, L Buesing, AM Packer, H Dalgleish, N Petit, M Hausser, JH Macke (2013). Inferring neural population dynamics from multiple partial recordings of the same neural circuit. Advances in Neural Information Processing Systems (NIPS) 2013.
[ pdf ]

M Helmstaedter, KL Briggman, SC Turaga, V Jain, HS Seung, W Denk (2013). Connectomic reconstruction of the inner plexiform layer in the mouse retina. Nature, 500: 168-174.
[ link | pdf | data, lots and lots of it! ]

News & Views
RH Masland (2013). Neuroscience: Accurate maps of visual circuitry. Nature, 500: 154-155.
[ link | pdf ]

V Jain, SC Turaga, KL Briggman, MN Helmstaedter, W Denk, HS Seung (2011). Learning to Agglomerate Superpixel Hierarchies. Advances in Neural Information Processing Systems (NIPS) 2011.
[ pdf ]

V Jain, HS Seung, SC Turaga (2010). Machines that learn to segment images: a crucial technology of connectomics. Current Opinion in Neurobiology, 20(5): 653-666.
[ link | pdf ]

SC Turaga, KL Briggman, M Helmstaedter, W Denk, HS Seung (2009). Maximin learning of image segmentation. Advances in Neural Information Processing Systems (NIPS) 2009.
[ pdf ]

SC Turaga, JF Murray, V Jain, F Roth, M Helmstaedter, K Briggman, W Denk, HS Seung (2010). Convolutional networks can learn to generate affinity graphs for image segmentation. Neural Computation, 22: 511-538.
[ link | pdf ]

V Jain, JF Murray, F Roth, SC Turaga, V Zhigulin, KL Briggman, MN Helmstaedter, W Denk, HS Seung (2007). Supervised learning of image restoration with convolutional networks. IEEE International Conference on Computer Vision (ICCV) 2007.
[ pdf ]

BH Tracey, NL Lee, SC Turaga (2006). Cluster analysis and robust use of full-field models for sonar beamforming. J Acoust Soc Am, 120(5):2635-47.
[ link | pdf ]

BH Tracey, NL Lee, SC Turaga (2004). Statistical clustering applied to adaptive matched field processing. Proceedings of Advanced Sensor Array Processing (ASAP) Workshop, March 2004.
[ pdf ]

SC Turaga, and SM Auerbach (2003). Calculating Free Energies for Diffusion in Tight-Fitting Zeolite-Guest Systems: Local Normal-Mode Monte Carlo. J. Chem. Phys. 118: 6512-6517 (2003).
[ link | pdf ]




Select conference posters, tech reports & unpublished notes

R Schalek, N Kasthuri, K Hayworth, D Berger, J Tapia, J Morgan, S Turaga, E Fagerholm, H Seung, J Lichtman (2011). Development of High-Throughput, High-Resolution 3D Reconstruction of Large-Volume Biological Tissue Using Automated Tape Collection Ultramicrotomy and Scanning Electron Microscopy. Microscopy and Microanalysis, 2011.
[ link | pdf ]

SC Turaga, HS Seung (2011). Logarithmic-time multi-class prediction via metric embedding of classifiers. Learning Workshop, 2011.
[ pdf ]

SC Turaga, H Sompolinsky, HS Seung (2006). Online learning in a model neural integrator. Cosyne, March 2006.
[ poster | manuscript ]

SC Turaga (2003). Calculation of Ziv-Zakai bound on Mean Squared Error for Matched Field Processing. MIT Lincoln Laboratory Memo, August 2003.
[ pdf ]