Dictionary of Functional Modes for brain imaging
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Updated
Feb 1, 2021 - HTML
Dictionary of Functional Modes for brain imaging
GNU R package for reading and writing neuroimaging file formats. Not limited to FreeSurfer anymore, despite its name.
Search, download, and prepare brain atlas data.
A neuroanatomy-based augmented reality experience powered by OpenCV. Features 3D visuals of the Atlas Brain Map slices with real-time ArUco marker detection.
A simple Python-based tool for finding brain atlas regions based on MNI coordinates.
BBP domains specification (schemas, vocabularies)
LocareJSON is a collection of JSON schemas for defining geometrical shapes with coordinates in 3D brain atlas coordinate spaces.
Code repository for automatic retrieval and registration of rodent brain atlases
Brain tissue segmentation using several algorithms: EM, Atlas-based methods, nnunet
Automatic annotation of cell identities in dense cellular images.
Use vision-language models to perform alignment and registration of histological brain sections to any BrainGlobe atlas in any orientation plane.
a web-based 3D tool to register brain MRI volumes to the Marmoset Brain Atlas
a web-based 2D high-resolution brain image viewer
Pairwise Brain Atlas Construction (BAtCh) HTCondor/SLURM workflow
A Python tool for mapping electrophysiology recording sites onto standardized mouse brain coordinates. Supports coronal, axial, and sagittal views with rapid visualization of electrophysiological data and anatomical locations.
Brain/MINDS Marmoset Brain Atlas Viewer made using Unity engine
Interactive 3D brain learning app with search, citations, and quiz mode
One-prompt 3D brain-region figures & rotating glow animations from 200+ BrainGlobe atlases (any species), rendered headless in Blender. A low-token Claude Code skill.
GWIQ-Atlas: is a brain-atlasing and model-interpretability suite that combines per-layer census, compliance behaviour tracing, SAE features, and quantization analyses for LLMs.
Analyze mobile network signals in real time with Cell-ID for detailed insight into signal strength, cell history, and network parameters across devices.
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