Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5737304 | Journal of Neuroscience Methods | 2017 | 9 Pages |
Abstract
iELVis promises to speed the progress and enhance the robustness of intracranial electrode research. The software and extensive tutorial materials are freely available as part of the EpiSurg software project: https://github.com/episurg/episurg.
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Authors
David M. Groppe, Stephan Bickel, Andrew R. Dykstra, Xiuyuan Wang, Pierre Mégevand, Manuel R. Mercier, Fred A. Lado, Ashesh D. Mehta, Christopher J. Honey,