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Yaroslav O. Halchenko
Researcher at Dartmouth College
Publications - 127
Citations - 9310
Yaroslav O. Halchenko is an academic researcher from Dartmouth College. The author has contributed to research in topics: Computer science & Neuroimaging. The author has an hindex of 30, co-authored 113 publications receiving 6275 citations. Previous affiliations of Yaroslav O. Halchenko include Karolinska Institutet & New Jersey Institute of Technology.
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Journal ArticleDOI
Nipype: A Flexible, Lightweight and Extensible Neuroimaging Data Processing Framework in Python
Krzysztof J. Gorgolewski,Christopher Burns,Cindee Madison,Dav Clark,Yaroslav O. Halchenko,Michael Waskom,Satrajit S. Ghosh +6 more
TL;DR: Nipype solves issues by providing Interfaces to existing neuroimaging software with uniform usage semantics and by facilitating interaction between these packages using Workflows, and provides an environment that encourages interactive exploration of algorithms, eases the design of Workflows within and between packages, and reduces the learning Curve.
seaborn: Statistical data visualization
Michael Waskom,Olga Botvinnik,Maoz Gelbart,Joel Ostblom,Paul Hobson,Saulius Lukauskas,David C Gemperline,Tom Augspurger,Yaroslav O. Halchenko,Jordi Warmenhoven,John B. Cole,Julian de Ruiter,Jake Vanderplas,Stephan Hoyer,Cameron Pye,Alistair Miles,Corban Swain,Kyle Meyer,Marcel Martin,Bachant, Pete Quintero, Eric,Gero Kunter,Santi Villalba,Brian,Clark Fitzgerald,Constantine Evans,Mike Lee Williams,Drew O'Kane,Tal Yarkoni,Thomas Brunner +28 more
TL;DR: Seaborn as discussed by the authors is a library for making statistical graphics in Python that provides a high-level interface to matplotlib and integrates closely with pandas data structures, which makes it easy to translate questions about data into graphics that can answer them.
Journal ArticleDOI
The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments.
Krzysztof J. Gorgolewski,Tibor Auer,Vince D. Calhoun,R. Cameron Craddock,Samir Das,Eugene P. Duff,Guillaume Flandin,Satrajit S. Ghosh,Tristan Glatard,Yaroslav O. Halchenko,Daniel A. Handwerker,Michael Hanke,David Keator,Xiangrui Li,Zachary Michael,Camille Maumet,B. Nolan Nichols,Thomas E. Nichols,John Pellman,Jean-Baptiste Poline,Jean-Baptiste Poline,Ariel Rokem,Gunnar Schaefer,Vanessa Sochat,William Triplett,Jessica A. Turner,Gaël Varoquaux,Russell A. Poldrack +27 more
TL;DR: The Brain Imaging Data Structure (BIDS) is developed, a standard for organizing and describing MRI datasets that uses file formats compatible with existing software, unifies the majority of practices already common in the field, and captures the metadata necessary for most common data processing operations.
Journal ArticleDOI
A common, high-dimensional model of the representational space in human ventral temporal cortex.
James V. Haxby,James V. Haxby,J. Swaroop Guntupalli,Andrew C. Connolly,Yaroslav O. Halchenko,Bryan Conroy,M. Ida Gobbini,M. Ida Gobbini,Michael Hanke,Peter J. Ramadge +9 more
TL;DR: A high-dimensional model of the representational space in human ventral temporal (VT) cortex in which dimensions are response-tuning functions that are common across individuals and patterns of response are modeled as weighted sums of basis patterns associated with these response tunings is presented.
Nipype: A Flexible, Lightweight and Extensible Neuroimaging Data Processing Framework in Python
Krzysztof J. Gorgolewski,Christopher Burns,Cindee Madison,Dav Clark,Yaroslav O. Halchenko,Michael Waskom,Satrajit S. Ghosh +6 more
TL;DR: Neuroimaging in Python: Pipelines and interfaces as discussed by the authors is an open-source, community-developed, software package and scriptable library for neuroimaging analysis using Python.