Showing 4 open source projects for "brain computer interface"

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  • 1
    Neuroglancer

    Neuroglancer

    WebGL-based viewer for volumetric data

    ...It allows users to interactively view arbitrary 2D and 3D cross-sections of volumetric data alongside 3D meshes and skeleton models, enabling precise examination of neural structures and biological imaging results. Its multi-pane interface synchronizes multiple orthogonal views with a central 3D viewport, making it ideal for analyzing complex brain imaging data such as connectomics datasets. Neuroglancer operates entirely client-side, fetching data over HTTP in a variety of supported formats including Neuroglancer precomputed, N5, Zarr, and NIfTI, among others. The viewer is built with a multi-threaded architecture, separating rendering and data processing to ensure smooth performance even with massive datasets. ...
    Downloads: 4 This Week
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  • 2
    The Python Computer Graphics Kit is a collection of Python modules that contain the basic types and functions to be able to create 3D computer graphics images (focusing on Pixar's RenderMan interface).
    Downloads: 0 This Week
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  • 3
    OpenFrames

    OpenFrames

    Real-time interactive 3D graphics API for scientific simulations

    OpenFrames has moved its primary development repository to GitHub! Everything else will follow. Get it at https://github.com/ravidavi/OpenFrames/wiki OpenFrames is an Application Programming Interface (API) that allows developers to provides the ability to add interactive 3D graphics to any scientific simulation. A simulation developer can use OpenFrames to specify what they want to visualize, without having to know any details of computer graphics programming. OpenFrames is currently used by three NASA programs: Copernicus (NASA JSC), the General Mission Analysis Tool (GMAT, NASA GSFC), and a Virtual Reality exploration tool (NASA GSFC).
    Downloads: 0 This Week
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  • 4

    ExAM-Exome_Analysis_And_Mining

    A whole exome sequencing analysis package and its graphical interface

    During the past few years, whole exome sequencing has imposed itself for genetic research, largely due to its use for detection of causative mutations responsible for Mendelian disorders. As a consequence of their power and of the rapidly decreasing cost of these technologies, massive amount of exome sequencing data are generated and becoming available to a broadening community of scientists. However, these data remain difficult to analyze and interpret by the general scientific community,...
    Downloads: 0 This Week
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