Srini Turaga

I am now a postdoc at University College London working at the Gatsby Unit and the Hausser Lab. I did my PhD under the supervision of Sebastian Seung's lab at the department of Brain and Cognitive Sciences, ^[?] MIT.

This page is currently quite outdated and will be updated shortly. Until then, please google or pubmed.

Curriculum Vita (pdf)

Current Projects

Computer science: machine learning and image segmentation
Neuroscience: Connectomics: Reconstruction of neuronal morphology and connectivity from volumetric electron micrography (in collaboration with Winfried Denk and Jeff Lichtman)

Papers

(a little outdated. will be updated shortly... for now, the CV contains the latest papers.)

Jain V, Turaga SC, Seung HS (pdf): Machines that learn to segment images: a crucial technology of connectomics. Current Opinion in Neurobiology, 2010.

Turaga SC, Briggman KL, Helmstaedter M, Denk W, Seung HS (pdf): Maximin learning of image segmentation. NIPS, 2009.

Turaga SC, Murray JF, Jain V, Roth F, Helmstaedter M, Briggman KL, Denk W, Seung HS (pdf): Convolutional networks can learn to generate affinity graphs for image segmentation. Neural Computation, Feb 2010.

Jain V, Murray JF, Roth F, Turaga SC, Zhigulin V, Briggman KL, Helmstaedter M, Denk W, Seung HS (pdf): Supervised learning of image restoration with convolutional networks. ICCV, 2007.

Turaga, S.C. (pdf): Calculation of Ziv-Zakai bound on Mean Squared Error for Matched Field Processing. MIT Lincoln Laboratory Memo, August 2003.
Turaga, S.C. and Auerbach, S.M. (pdf|ps): Calculating Free Energies for Diffusion in Tight-Fitting Zeolite-Guest Systems: Local Normal-Mode Monte Carlo. J. Chem. Phys. 118, 6512-6517 (2003).