The mission of the Flatiron Institute is to advance scientific research through computational methods, including data analysis, modeling and simulation.
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Scientific Computing Core
The Scientific Computing Core (SCC) is the technical backbone of the Flatiron Institute.
It develops, deploys and maintains computational infrastructure — from supercomputers to desktop PCs — dedicated solely to the use of Flatiron researchers.
Software
A major effort of the Flatiron Institute is the development and support of high-quality, open-source software for research.
Research Highlights
High-Density, Long-Lasting, and Multi-region Electrophysiological Recordings Using Polymer Electrode Arrays
J. E. Chung, H. R. Joo, J. L. Fan, D. F. Liu, A. Barnett, S. Chen, C. Geaghan-Breiner, M. P. Karlsson, M. Karlsson, K. Y. Lee, H. Liang, J. Magland, J. A. Pebbles, A. C. Tooker, L. Greengard, V. M. Tolosa, L. M. Frank
The brain is a massive neuronal network, organized into anatomically distributed sub-circuits, with functionally relevant activity occurring at timescales ranging…
NeuronInterpretation of an individual functional genomics experiment guided by massive public data
Y. Lee, A. Wong, A. Tadych, B. Hartmann, C. Park, V. DeJesus, I. Ramos, E. Zaslavsky, S. Sealfon, O. Troyanskaya
A key unmet challenge in interpreting omics experiments is inferring biological meaning in the context of public functional genomics data.…
Nature MethodsComparable upper and lower bounds for boundary values of Neumann eigenfunctions and tight inclusion of eigenvalues
A. Barnett, A. Hassell, M. Tacy
For smooth bounded domains in ℝn, we prove upper and lower L2 bounds on the boundary data of Neumann eigenfunctions,…
Duke Mathematical Journal
