News

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

Graduate Students

Michael Coulombe

Justin Kopinsky

Shibani Santurkar

Jonathan Stoller

Undergraduates

Gergely Odor
Hayk Saribekyan

Alumni

Victor Jakubiuk
Quan Nguyen
Robert Radway

Publications

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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