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1st draft which fits on 2 pages -- sacrifised AIMS
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flier/nipy-handout.tex

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% \hrule
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\end{center}
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\vspace{-1em}
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\vspace{0em}
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%___________________________________________________________________________
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\item Automated monitor calibration (supported photometers)
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\end{itemize}
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\includegraphics[width=\columnwidth]{../pics/psychopyBuilder.png}
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\vspace{-2em}
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%___________________________________________________________________________
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\end{itemize}
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\includegraphics[width=\columnwidth]{../pics/nipy_viz.pdf}
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%___________________________________________________________________________
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\ndproject{Nipype}{http://nipy.org/nipype}{blank.png}{.2}{-1.25em}{0em}
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of algorithms from different packages (e.g., SPM, FSL, FreeSurfer,
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Camino, AFNI, Slicer), eases the design of workflows within and
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between packages, and reduces the learning curve necessary to use
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different packages. Nipype is creating a collaborative platform for
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neuroimaging software development in a high-level language and
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addressing limitations of existing pipeline systems. Nipype allows you to
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different packages.
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% Nipype is creating a collaborative platform for
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%neuroimaging software development in a high-level language and
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%addressing limitations of existing pipeline systems.
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Nipype allows you to
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\begin{itemize}[nolistsep,topsep=0em,leftmargin=1pc]
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\item easily interact with tools from different software packages
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\item combine processing steps from different software packages
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\item interact with tools from different software packages
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\item combine processing steps from different packages
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\item develop new workflows faster by reusing common steps from old ones
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\item process data faster by running it in parallel on many cores/machines
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\item process data faster by running in parallel% on many cores/machines
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\item make your research easily reproducible
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\item share your processing workflows with the community
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\end{itemize}
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\vspace{-1em}
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\includegraphics[width=\columnwidth]{nipype_arch.pdf}
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\ndcite{Gorgolewski K, Burns CD, Madison C, Clark D, Halchenko YO, Waskom ML, Ghosh SS
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(2011) Nipype: a flexible, lightweight and extensible neuroimaging data
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processing framework in Python. Front. Neuroinform. 5:13.
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doi: 10.3389/fninf.2011.00013}
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\vspace{-3em}
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\ndcite{Gorgolewski K, Burns CD, Madison C, Clark D,
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Halchenko YO, Waskom ML, Ghosh SS (2011) Nipype: a flexible,
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lightweight and extensible neuroimaging data processing framework in
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Python. Front. Neuroinform. 5:13. doi: 10.3389/fninf.2011.00013}
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%___________________________________________________________________________
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\includegraphics[width=\columnwidth]{pymvpa_shot.pdf}
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\ndcite{Hanke, M., Halchenko, Y. O., Sederberg, P. B., Hanson,
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S. J., Haxby, J. V. \& Pollmann, S. (2009).
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PyMVPA: A Python toolbox for multivariate pattern analysis of fMRI data. Neuroinformatics, 7}\\
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\ndcite{Haxby, J. V. , Guntupalli, J. S. , Connolly, A. C. ,
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Halchenko, Y. O. , Conroy, B. R., Gobbini, M. I. , Hanke, M. and
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Ramadge, P. J. (2011). A Common, High-Dimensional Model of the
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Representational Space in Human Ventral Temporal Cortex. Neuron,
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72.}
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PyMVPA: A Python toolbox for multivariate pattern analysis of fMRI data. Neuroinformatics}\\
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%\ndcite{Haxby, J. V. , Guntupalli, J. S. , Connolly, A. C. ,
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% Halchenko, Y. O. , Conroy, B. R., Gobbini, M. I. , Hanke, M. and
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% Ramadge, P. J. (2011). A Common, High-Dimensional Model of the
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% Representational Space in Human Ventral Temporal Cortex. Neuron,
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% 72.}
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%___________________________________________________________________________
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helping researchers in developing new neuroimaging tools, sharing data and
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distributing their software.
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\begin{itemize}[nolistsep,topsep=0em,leftmargin=1pc]
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\item Written in pure Python
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%\item Written in pure Python
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\item Databasing capabilities
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\item Massive computation facilities using Soma-workflow
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\item Open environment, with many toolboxes
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%___________________________________________________________________________
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\ndproject{AIMS}{http://brainvisa.info}{blank.png}{.2}{-1.25em}{0em}
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AIMS is the image processing library provided within the BrainVISA environment.
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It is independent from BrainVISA, and the basis for the Anatomist viewer.
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\begin{itemize}[nolistsep,topsep=0em,leftmargin=1pc]
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\item C++ and Python APIs, including integration with Numpy arrays
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\item Open and plugin-based IO system supporting various volume formats (NIFTI-1,
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Analyze, DICOM, MINC, ECAT, and several others including all standard 2D
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image formats), several mesh and texture formats (GIFTI, PLY,
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% CIVET, BrainVisa Mesh and Tri, export as VRML-1, POV,
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\ldots), graphs.
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\item Many neuromiaging data manipulation tools and image processing algorithms
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\end{itemize}
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% \ndproject{AIMS}{http://brainvisa.info}{blank.png}{.2}{-2.25em}{0em}
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%
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% AIMS is the image processing library provided within the BrainVISA environment.
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% It is independent from BrainVISA, and the basis for the Anatomist viewer.
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% \begin{itemize}[nolistsep,topsep=0em,leftmargin=1pc]
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% \item C++ and Python APIs, including integration with Numpy arrays
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% \item Open and plugin-based IO system supporting various volume formats (NIFTI-1,
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% Analyze, DICOM, MINC, ECAT, and several others including all standard 2D
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% image formats), several mesh and texture formats (GIFTI, PLY,
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% % CIVET, BrainVisa Mesh and Tri, export as VRML-1, POV,
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% \ldots), graphs.
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% \item Many neuromiaging data manipulation tools and image processing algorithms
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% \end{itemize}
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%___________________________________________________________________________
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independent part of the BrainVisa environment, and relies on the AIMS
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library, inheriting its features.
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\begin{itemize}[nolistsep,topsep=0em,leftmargin=1pc]
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\item C++ and Python APIs
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% \item C++ and Python APIs
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\item Interactive, fast 3D via direct OpenGL
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\item Usable as a standalone software or as a library to build dedicated GUIs
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\item Usable as a standalone software or as a library% to build dedicated GUIs
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\item Supports all kinds of neuroimaging objects, including complex structured
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objects
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\item Interactive ROI drawing, voxel-based or on surfaces

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