Laminar Python: tools for cortical depth-resolved analysis of high-resolution brain imaging data in Python

oleh: Julia Huntenburg, Konrad Wagstyl, Christopher Steele, Thomas Funck, Richard Bethlehem, Ophélie Foubet, Benoit Larrat, Victor Borrell, Pierre-Louis Bazin

Format: Article
Diterbitkan: Pensoft Publishers 2017-02-01

Deskripsi

Increasingly available high-resolution brain imaging data require specialized processing tools that can leverage their anatomical detail and handle their size. Here, we present user-friendly Python tools for cortical depth resolved analysis in such data. Our implementation is based on the CBS High-Res Brain Processing framework, and aims to make high-resolution data processing tools available to the broader community.