News

January 2017: Shavit Lab’s PPoPP 2017 paper, A Multicore Path to Connectomics-on-Demand is selected for Best Paper Nominee. June 3, 2016, MIT Commencement: Congratulations to new graduates, Gregory Odor and Hayk Saribekyan! (Pictured: Hayk Saribekyan and Professor Nir Shavit.) February 2016: The Shavit Lab has been awarded research funding under the IARPA Machine Intelligence from Cortical Networks (MICrONS) project. October 2015: Brain-like chip.

Projects

High Throughput Connectomics Exiguous Optogenetic Circuits

Undergraduates

Gergely Odor
Hayk Saribekyan

Alumni

David Budden
Jonathan Stoller
Gergely Odor
Victor Jakubiuk
Quan Nguyen
Robert Radway

Publications

Matveev, A., Meirovitch, Y., Saribekyan, H., Jakubiuk, W., Kaler, T., Odor, G., Budden, D., Zlateski, A., Shavit, N. A Multicore Path to Connectomics-on-Demand . PPoPP 2017 (Best Paper Nominee).

Meirovitch, Y., Matveev, A., Saribekyan, H., Budden, D., Rolnick, D., Odor, G., Knowles-Barley, S., Thouis, R., Pfister, H., Lichtman, J., Shavit, N. A Multi-Pass Approach to Large-Scale Connectomics . arXiv 2017.

Lichtman, J., Pfister, H., and Shavit, N. The big data challenges of connectomics. Nature Neuroscience, 17, pp. 1448-1454 (November 2014).

Zeyuan Allen-Zhu, Rati Gelashvili, Silvio Micali, and Nir Shavit. Sparse sign-consistent Johnson-Lindenstrauss matrices: Compression with neuroscience-based constraints. Proceedings of the National Academy of Sciences USA; 111(47), pp. 16872-16876 (October 2014).

Resources

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