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http://conp.ca/

Web interface that facilitates open science for neuroscience community by simplifying global access to and sharing of datasets and tools. Portal internalizes typical data cycle of research project, beginning with data acquisition, followed by data processing with published tools, and ultimately publication of results with link to original dataset. Platform to form interactive network of collaborations in brain research, interdisciplinary student training, international partnerships, clinical translation and open publishing. Provides unified interface to Canadian neuroscience research community. Open neuroscience research with sharing of both data and methods, to create large-scale databases, development of standards for sharing, facilitation of advanced analytic strategies, open dissemination to global community of neuroscience data and methods, and establishment of training programs for next generation of computational neuroscience researchers.

Proper citation: Canadian Open Neuroscience Platform (RRID:SCR_016433) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/uf2c/

Software tool to standardize and facilitate connectivity studies through a graphical user interface and validated preset parameters.

Proper citation: User Friendly Functional Connectivity - UF²C (RRID:SCR_016550) Copy   

•   Source: SciCrunch Registry

https://doi.org/10.1016/j.neuroimage.2018.07.046

Software package for simulation framework and codes for estimating nonparametric Granger causality. Used to study brain functions.

Proper citation: nonparametricGGC_toolbox (RRID:SCR_016539) Copy   

•   Source: SciCrunch Registry

https://bican.mccarrolllab.org/app/bican?_inputs_&geneList=%22XIST%20PDE10A%20%20PENK%20PDYN%22&navbarPage=%22panelGeneExpr%22&plotExpressionButton=0&exprPlotUseCommonYScale=true&cellTypeSelector=%5B%22MSN%22%2C%22MSN_D1%22%2C%22MSN_D2%22%2C%22MSN_D1_matrix%22%2C%22MSN_D2_matrix%22%2C%22MSN_D1_striosome%22%2C%22MSN_D2_striosome%22%5D&exprPlotRegionSelector=%22Pu%22&GeneExprPlot_hover=null

Project provides data currently generated with support from the NIH Brain Initiative Cell Atlas Network (BICAN). Broad Institute collaboration supported by the NIH BRAIN Initiative, to create comprehensive atlas of cellular variation in the healthy human brain. It maps data from millions of cells across diverse individuals to understand how brain biology differs, helping researchers distinguish healthy variation from disease states.

Proper citation: Human Brain Variation Project (RRID:SCR_028065) Copy   

•   Source: SciCrunch Registry

https://github.com/SCANDAN-Team/SCANDAN-DICOM-labelling

Software tool for rules for DICOM tag based labelling. Regular expression used during the SCANDAN project to label MRI scans based on DICOM tag.

Proper citation: SCANDAN-DICOM-labelling (RRID:SCR_028365) Copy   

•   Source: SciCrunch Registry

https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/verbena

Software tool for quantification of perfusion and other haemodynamic parameters from Dynamic Susceptibility Contrast perfusion MRI of the brain.

Proper citation: VERBENA (RRID:SCR_024919) Copy   

•   Source: SciCrunch Registry

https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/FLIRT

Sotware automated robust and accurate tool for linear (affine) intra- and inter-modal brain image registration.

Proper citation: FMRIB's Linear Image Registration Tool (RRID:SCR_024922) Copy   

•   Source: SciCrunch Registry

https://fsl.fmrib.ox.ac.uk/fsl/fslwiki/XTRACT

Software command line tool for automated tractography. Standardised protocols for automated tractography in human and macaque brain.

Proper citation: XTRACT (RRID:SCR_024933) Copy   

•   Source: SciCrunch Registry

https://marmotgraph.org

Knowledge graph system developed for managing and organizing rich metadata objects, initially for the Human Brain Project (HBP) and now extended to be a more generic, domain-agnostic solution. It is associated with CSCS (Swiss National Supercomputing Centre) and aims to provide a comprehensive toolset and API for working with knowledge graphs.

Proper citation: MarmotGraph (RRID:SCR_027452) Copy   

•   Source: SciCrunch Registry

https://imaging.uci.edu/fibre/

Facility for Imaging and Brain Research houses 3T Siemens Prisma scanner, mock scanner, and data analysis facilities. Research dedicated MRI scanning facility designed to suit wide range of basic and translational research programs by researchers across the UCI campus and beyond.

Proper citation: University of California at Irvine FIBRE Core Facility (RRID:SCR_027777) Copy   

•   Source: SciCrunch Registry

https://www.uni.lu/lcsb-en/

Research institute in Esch-sur-Alzette, Luxembourg to study brain and its diseases. Collaboration between biologists, medical and computer scientists, physicists, engineers as well as mathematicians offers new insights into complex biological mechanisms and disease processes, with the aim of developing new tools for diagnostics, prevention, and therapy. LCSB has established strategic partnerships with scientific partners worldwide and with all major biomedical research units in Luxembourg. Carries out collaborative projects with hospitals and research-oriented companies, accelerating translation of fundamental research results into clinical applications.

Proper citation: Luxembourg Centre for Systems Biomedicine (RRID:SCR_026168) Copy   

•   Source: SciCrunch Registry

http://www.pc.rhul.ac.uk/staff/J.Larsson/software.html

Set of programs and Tk/Tcl scripts, with a GUI wrapper, for extracting the inner and outer cortical surfaces from a T1-weighted MR image of the human brain. It is based on the TFI C++ library and is written for a Unix-based environment (specifically 64-bit and 32-bit versions of Ubuntu). As a courtesy to Apple users a version for Apple/X11 is maintained but the OS X version will always lag the Linux version; also, because some of the third-party libraries SurfRelax relies on may not be supported in or compatible with future versions of OS X, there is no guarantee that the OS X version will be supported indefinitely. Although in principle SurfRelax could be run under Windows (using Cygwin), because of the difficulties of maintaining multiple platforms and the limited support libraries available under Cygwin, there will no longer be support for SurfRelax on this platform. The surfaces are guaranteed to be topologically equivalent to a sphere, thereby obviating the need for handle removal. SurfRelax requires no user intervention, although minor manual editing is recommended for optimal results (normally less than 10 minutes per hemisphere). SurfRelax has several properties that compare favorably with other software packages for surface reconstruction: * Free software - The binaries (written in C++ and Tcl/Tk) are in the public domain. The source code will be released once legacy code issues have been resolved (i.e. replacing with GPL code). * Uses standard public file formats: Analyze file format (SPM/FSL-compatible) for volumes and OOGL OFF binary format for surfaces (see www.geomview.org (http://www.geomview.org/docs/html/geomview_26.html#OOGLRef)) * Combines advantages of volumetric and surface-based methods for surface generation * Correct topology of output surface guaranteed * Requires little or no user intervention - no need for manual handle removal * Relatively robust to noise - multi-scale method compensates for partial volume effects and intensity inhomogeneities * Relatively fast (an entire brain is segmented, extracted and unfolded in less than 2 hours of CPU time) * Powerful editing and visualization tools for volumes and surfaces * Readily extendable - for instance for use with monkey brains or children's brains * Can be used to visualize functional data from SPM or FSL * Includes tools for integration with Stanford's VISTASOFT tools for FMRI data analysis (white.stanford.edu)

Proper citation: SurfRelax (RRID:SCR_002139) Copy   

•   Source: SciCrunch Registry

http://www.incf.org/

Independent international facilitator catalyzing and coordinating global development of neuroinformatics aiming to advance data reuse and reproducibility in global brain research. Integrates and analyzes diverse data across scales, techniques, and species to understand brain function and positively impact the health and well being of society.

Proper citation: International Neuroinformatics Coordinating Facility (RRID:SCR_002282) Copy   

•   Source: SciCrunch Registry

http://www.bioon.com/bioline/neurosci/course/index.htm

An illustrated guide to the essential basics of clinical neuroscience created in conjunction with the first-year course for medical students.
Topics covered:
* Coronal and horizontal sections
* Basic visual pathway
* Basic somatosensory pathway
* Basic motor pathway
* Eye and retina
* Central visual pathways
* Auditory and vestibular systems
* Somatosensory pathways from the body
* Somatosensory pathways from the face
* Spinal motor structures
* Brainstem nuclei of cranial nerves
* Basal ganglia and cerebellum
* Hypothalamus and autonomic nervous system
* Medial temporal lobe and memory
* Sleep and language
* Where is...?

Proper citation: Washington University School of Medicine Neuroscience Tutorial (RRID:SCR_002271) Copy   

•   Source: SciCrunch Registry

http://connectomes.org/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on October 28,2025. Project mapping whole mouse brain connectivity using serial block face scanning electron microscopy (SBF-SEM) with a specially-designed whole-brain microtome (WBM). With any luck, the whole mouse brain will be mapped ultrastructurally in the near term, which will then open the door to more serious problems; reliable automated segmentation and circuit reconstruction. These will undoubtedly require advances in machine learning methods and their application. Connectomics Software and a Multiresolution Image Viewer (MIV) is also available.

Proper citation: Connectomes.org (RRID:SCR_002243) Copy   

•   Source: SciCrunch Registry

http://www.kumc.edu/instruction/medicine/anatomy/histoweb/nervous/nervous.htm

Histology atlas of different parts of the nervous system that corresponds with the laboratory exercises of the Cell & Tissue Biology course of the School of Medicine of the University of Kansas. Succinct explanations of the tissues to guide the first-year medical student in the use of their microscope is provided and subsequently serves as a permanent histology resource for all medical students and physicians. Sections of the brain that are included are: * Spinal Cord * Central Canal * White Matter * Gray Matter * Dorsal Root Ganglion * Cerebellum * Cerebrum * Astrocytes * Nerve * Node of Ranvier * Pacinian Corpuscle

Proper citation: HistoWeb: Nervous System (RRID:SCR_002369) Copy   

•   Source: SciCrunch Registry

http://www.behav.org/abcd/abcd.php

THIS RESOURCE IS NO LONGER IN SERVICE. Documented August 21, 2017.

Database developed for storing, retrieving and cross-referencing neuroscience information about the connectivity of the avian brain. It contains entries about the new and old terminology of the areas and their hierarchy and data on connections between brain regions, as well as a functional keyword system linked to brain regions and connections.

Proper citation: Avian Brain Circuitry Database (RRID:SCR_002401) Copy   

•   Source: SciCrunch Registry

http://www.jeiglesias.com

An automatic whole-brain extraction tool for T1-weighted MRI data (commonly known as skull stripping). Whole-brain segmentation is often the first component in neuroimage pipelines and therefore, its robustness is critical for the overall performance of the system. Many methods have been proposed in the literature, but they often: * work well on certain datasets but fail on others. * require case-specific parameter tuning ROBEX aims for robust skull-stripping across datasets with no parameter settings. It fits a triangular mesh, constrained by a shape model, to the probabilistic output of a supervised brain boundary classifier. Because the shape model cannot perfectly accommodate unseen cases, a small free deformation is subsequently allowed. The deformation is optimized using graph cuts.

Proper citation: ROBEX (RRID:SCR_002534) Copy   

•   Source: SciCrunch Registry

http://www.unidesign.ch/wiki/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on December 6, 2012. Connectome Wiki is a knowledge base for macro- and mesoscale brain region and brain structural connectivity information across species. Employing modern semantic wiki technology, it serves as collaborative platform as well. What can I get? * Brain Regions: Plenty of information, including links to relevant literature and much more. * Brain Connections: Well established neuronal connections based mainly on neuronal tracer studies from the literature. * Abbreviations: Look up abbreviations and corresponding English and Latin names * Partition Schemes: Foundational and more partitions with their corresponding delineation criteria and protocols. * Species: Information about different species is available, using their binomial name as identifier. * External: Enhance the ConnectomeViewer with Volume-To-Ontology mappings. * Data Source: You can download the raw data in RDF or JSON. How can I contribute? If your research is in particular brain regions, or model organisms not yet registered, feel free to act as domain expert and add your knowledge. If you do any tracer studies, add findings with appropriate published papers. Incrementally building a mesoscale skeleton wiring diagram. Complete anything that is missing. See also PapersToAdd. Register your own partition scheme and link it semantically against known schemes. Adding brain region pages for your particular research organisms. Use ConnectomeWiki as knowledge backend for your application concerned with gross neuroanatomy. The goals of this wiki are: * A collaborative platform to collect, collate, manage and disseminate mesoscale nervous system region and connectivity information across various species * Authority for Brain Region Abbreviations * Representation of Brain Region Homologies * Interrelation of Brain Partition Schemes * Information source for the ConnectomeViewer application

Proper citation: Connectome Wiki (RRID:SCR_002675) Copy   

•   Source: SciCrunch Registry

http://www.wellesley.edu/Neuroscience/

Neuroscience was implemented as a new interdisciplinary major in 1999, replacing the Psychobiology Program and providing a base of experiences in biology, chemistry and psychology. Our students benefit from being able to work in small classes and to experience investigative lab experiences even in their introductory courses. Wellesley's neuroscience majors graduate with a liberal arts background coupled with sufficient concentration in this specialized field to be competitive among students coming from exclusively research-oriented institutions. The best proofs of the success of this approach are its products: * 60% of our graduates proceed to medical school; * 15% of our graduates continue on with graduate work in neuroscience, psychology, or neuropsychology; * 10% of our graduates pursue careers that intersect with neuroscience - for example, patent law or work in the biotech industry. Neuroscience is the study of the structure and function of neurons and how they are assembled to produce behaviors. This topic uses a multidisciplinary approach that extends from the molecular, through the cellular, and to the behavioral level.

Proper citation: Wellesley College Neuroscience (RRID:SCR_002734) Copy   

•   Source: SciCrunch Registry