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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Dynamic Brain Platform Resource Report Resource Website |
Dynamic Brain Platform (RRID:SCR_001754) | DBPF | data or information resource, service resource, bibliography, database, storage service resource, atlas, data set, data repository | THIS RESOURCE IS NO LONGER IN SERVICE, documented on January 19. 2022. Platform to promote studies on dynamic principles of brain functions through unifying experimental and computational approaches in cellular, local circuit, global network and behavioral levels. Provides services such as data sets, popular research findings and articles and current developments in field. This site has been archived since FY2019 and is no longer updated. | collaboration, glial cell, interaction, model, network, neuron, neuron-glia network, numerical tool, paper, protein, publish, tool, book, neural dynamics, brain, stimulus, book, conference, presentation, simulation, paper, simulator, experimental stimuli, poster, data sharing |
is related to: INCF Japan Node has parent organization: RIKEN Brain Science Institute |
THIS RESOURCE IS NO LONGER IN SERVICE | SCR_001812, nif-0000-10262, nif-0000-10377 | https://nimg.neuroinf.jp/ | SCR_001754 | Neuro-Imaging Platform, Dynamic Brain PF | 2025-05-20 11:08:08 | 0 | ||||||
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University of California at Berkeley: The Neural Prediction Challenge Resource Report Resource Website 1+ mentions |
University of California at Berkeley: The Neural Prediction Challenge (RRID:SCR_001920) | data or information resource, portal, topical portal | The aim of the Neural Prediction Challenge is to accelerate the development of predictive models and to provide computational neuroscientists an opportunity to test their models objectively. The challenge is really quite simple: you will be given some (visual and/or auditory) stimuli and corresponding neural responses, and you must try to predict responses to other stimuli. Each data set will be divided in to two subsets: a fit set (90% of the data) that includes both the stimuli and the corresponding neuronal responses; and a validation set (10% of the data) that includes only stimuli (no responses). Your job is to use the fit set to fit your model and then to generate predicted responses based on the stimuli provided in the validation set. Once you have the predictions you should return them to us. We will compare your predicted responses to the responses actually observed in the validation set. Current data consist of recordings from visual and auditory neurons during naturalistic stimulation. Data are provided in simple ascii files that are easily readable in Matlab (or by any other modern programming language). Details on data formatting are provided with each data set. Predictions will be evaluated continuously as they are received and results will be posted in aggregate form. Individuals' names, prediction scores and models will not be posted without prior permission (though we may contact participants directly, see official rules). Please note that this is an academic research project, it is not a traditional contest. There is no real ending date, and there is nothing to win. Sponsors: This project is supported by the NIH Human Brain Project. | auditory stimulus, challenge, computational neuroscientist, development, neural, neuron, neuronal, predictive model, response, visual stimulus | nif-0000-10490 | SCR_001920 | UCB Neural Challenge | 2025-05-20 11:08:14 | 2 | ||||||||||
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Flybrain at Stanford Resource Report Resource Website 1+ mentions |
Flybrain at Stanford (RRID:SCR_001877) | Flybrain(at)Stanford, FlybrainatStanford | data or information resource, image analysis software, software resource, image collection, software application, data processing software | Project content including raw image data, neuronal tracings, image registration tools and analysis scripts covering three manuscripts: Comprehensive Maps of DrosophilaHigher Olfactory Centres : Spatially Segregated Fruit and Pheromone Representation which uses single cell labeling and image registration to describe the organization of the higher olfactory centers of Drosophila; Diversity and wiring variability of olfactory local interneurons in the Drosophila antennal lobe which uses single cell labeling to describe the organization of the antennal lobe local interneurons; and Sexual Dimorphism in the Fly Brain which uses clonal analysis and image registration to identify a large number of sex differences in the brain and VNC of Drosophila. Data * Raw Data of Reference Brain (pic, amira) (both seed and average) * Label field of LH and MB calyx and surfaces for these structures * Label field of neuropil of Reference Brain * Traces (before and after registration). Neurolucida, SWC and AmiraMesh lineset. * MB and LH Density Data for different classes of neuron. In R format and as separate amira files. * Registration files for all brains used in the study * MBLH confocal images for all brains actually used in the study (Biorad pic format) * Sample confocal images for antennal lobe of every PN class * Confocal stacks of GABA stained ventral PNs Programs * ImageJ plugins (Biorad reader /writer/Amira reader/writer/IGS raw Reader) * Binary of registration, warp and gregxform (macosx only, others on request) * Simple GUI for registration tools (macosx only at present) * R analysis/visualization functions * Amira Script to show examples of neuronal classes The website is a collaboration between the labs of Greg Jefferis and Liqun Luo and has been built by Chris Potter and Greg Jefferis. The core Image Registration tools were created by Torsten Rohlfing and Calvin Maurer. | brain, cell, neuron, neuropil, olfactory, pheromone, confocal image, antennal lobe, axon trace, forum, neuronal tracing, image registration tool, analysis script, single-cell labeling, image registration, mushroom body, lateral horn, olfactory receptor neuron | has parent organization: Stanford University; Stanford; California | Wellcome Trust WT076726; Damon Runyon Cancer Research Foundation DRG-1766-03; NIAAA AA05965; NIAAA AA13521; NIDCD R01-DC005982 |
PMID:17382886 | You need to register to view some content and to download the raw image data, Neuronal tracings, Image registration tools and analysis scripts that we used. Registration is free and automatic. | nif-0000-10437 | SCR_001877 | Flybrain (at) Stanford - A warped brain is a good thing, Flybrain (at) Stanford | 2025-05-20 11:08:12 | 6 | |||||
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NeuroMorpho.Org Resource Report Resource Website 50+ mentions |
NeuroMorpho.Org (RRID:SCR_002145) | data or information resource, service resource, database, storage service resource, data repository | Centrally curated inventory of digitally reconstructed neurons associated with peer-reviewed publications that contains some of the most complete axonal arborizations digitally available in the community. Each neuron is represented by a unique identifier, general information (metadata), the original and standardized ASCII files of the digital morphological reconstruction, and a set of morphometric features. It contains contributions from over 100 laboratories worldwide and is continuously updated as new morphological reconstructions are collected, published, and shared. Users may browse by species, brain region, cell type or lab name. Users can also download morphological reconstructions for research and analysis. Deposition and distribution of reconstruction files ultimately prevents data loss. Centralized curation and annotation aims at minimizing the effort required by data owners while ensuring a unified format. It also provides a one-stop entry point for all available reconstructions, thus maximizing data visibility and impact. | neuron, morphological reconstruction, morphometry, axonal arborization, digital neuronal reconstruction, neuronal reconstruction, neuronal morphology, data sharing, annotation, brain region, neocortex, digital reconstruction, neurogenetics, neurochemistry, neuroscience, neurology, FASEB list |
is used by: NIF Data Federation is used by: BICCN is recommended by: National Library of Medicine is recommended by: NIDDK Information Network (dkNET) is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is listed by: re3data.org is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: DONE: Detection of Outlier NEurons is related to: NIF Literature is related to: Computational Neurobiology and Imaging Center is related to: Integrated Manually Extracted Annotation is related to: xyz2swc is related to: Allen Institute for Brain Science has parent organization: George Mason University; Virginia; USA is parent organization of: NeuroMorpho.Org species ontology is parent organization of: NeuroMorpho.Org species ontology old |
NINDS R01 NS39600; MURI ONR N000141010198 |
PMID:17728438 PMID:16552417 PMID:18949582 |
Acknowledgement requested, Public, The community can contribute to this resource | nif-0000-00006 | http://www.nitrc.org/projects/neuromorpho_org http://neuromorpho.org/ |
SCR_002145 | Neuro Morpho, NeuroMorpho.org, NeuroMorpho | 2025-05-20 11:08:25 | 83 | |||||
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Connectomes.org Resource Report Resource Website |
Connectomes.org (RRID:SCR_002243) | Connectomes.org | data or information resource, topical portal, data visualization software, software resource, portal, software application, data processing software | 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. | circuit, electron microscopy, brain, connectome, synapse, gap junction, neuron | nlx_155556 | SCR_002243 | 2025-05-20 11:08:30 | 0 | ||||||||||
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Fly EM Resource Report Resource Website 1+ mentions |
Fly EM (RRID:SCR_002242) | Fly EM, FlyEM | data or information resource, segmentation software, topical portal, image analysis software, software resource, data set, portal, software application, data processing software | A project producing datasets, software, and algorithms that is developing the technology to produce connectomes at the electron microscopic level of behaviorally-relevant neural circuits as well as the entire Drosophila nervous system. This technology will enable them to create a map of every neuron and synapse in the Drosophila nervous system, using novel approaches to electron microscopy (EM) as the foundation. In the same way that the fly genome paved the way for larger projects, including sequencing the human genome, Fly EM may ultimately contribute to our understanding of the human brain by establishing a fly "connectome" a map that shows how all neurons in the fly brain are connected to each other. They began their entry into EM reconstruction with the fly's adult visual system, where much is known about cell types from previous EM and histological studies, as well as ongoing studies in the Fly Light Project. In addition to establishing and publishing a fly connectome, Fly EM will make technology and methodology available that is needed to perform large-scale EM reconstructions. Fly EM will generally pursue an open policy with their datasets, software, and algorithms after relevant publications. When an EM reconstruction is published, the derived connectome and reconstructed neuronal skeletons will be made available online. The raw data and annotatations will be made available upon request as logistics dictate. To encourage further collaboration and scientific discovery, a small fraction of their raw data and corresponding segmentation will be made available independent of publication. Their goal is to enable others who wish to approach the many algorithmic challenges, but who do not have access to an EM facility, to have the data they need to support methods development, as well as their results to use as a benchmark. Fly EM emphasizes publication of supporting techniques and software approaches before major EM reconstruction releases to encourage rapid feedback from the community and adoption of their strategies. FlyEM maintains much of its software in the open-source repository GitHub:http://janelia-flyem.github.com. They will provide information on official release versions of these packages on git-hub when it reaches reasonable maturity. | neuron, synapse, nervous system, electron microscopy, visual system, connectome, reconstruction, adult, optic lobe, medulla, lobula | has parent organization: Janelia Research | PMID:30033368 | Janelia Farm license, A 3-clause BSD license | nlx_155555 | SCR_002242 | Fly EM Project | 2025-05-20 11:08:30 | 3 | ||||||
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Ear Lab Resource Report Resource Website |
Ear Lab (RRID:SCR_002531) | Earlab | data or information resource, organization portal, portal, laboratory portal | A computationally oriented experimental laboratory interested in the encoding of auditory information in the cerebral cortex and brainstem, and in the mechanisms of tinnitus and the effect of various drugs (Lidocaine, steroids, anti-oxidants) in relieving noise trauma induced tinnitus. The ferret (Mustela putorius) and the rat serve as their system model. Through chronic implants, they obtain electrophysiological data from awake behaving animals in order to investigate the response properties and functional organization of the auditory system, both in health and after noise trauma that induces tinnitus in rats. Projects: * Response Modulation to Ongoing Broadband Sounds in Primary Auditory Cortex * Neuronal Response Characteristics in the Inferior Colliculus of the Awake Ferret and Rat * Spectro-Temporal Representation of Feature Onsets in Primary Auditory Cortex * Targeting the changes in inferior colliculus induced by tinnitus | ear, auditory, cerebral cortex, behavior, health, noise, trauma, research, engineering, primary auditory cortex, neuron, brainstem, tinnitus, drug, lidocaine, steroid, anti-oxidant, computation, auditory system, sound, mustela putorius, inferior colliculus | has parent organization: University of Maryland; Maryland; USA | Tinnitus, Healthy | nif-0000-00404 | SCR_002531 | the ear lab | 2025-05-20 11:08:47 | 0 | |||||||
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Neuron Registry Curator Interface Resource Report Resource Website 1+ mentions |
Neuron Registry Curator Interface (RRID:SCR_000094) | NRCI | data or information resource, storage service resource, data repository, service resource | Repository of neuron types characterized by machine-readable part-relation-value triple-based neuron properties. A Curator Interface facilitates the direct knowledge transfer of information from the participating neuroscientist for entry into the Neuron Registry. | neuron, registry, neuron property, data repository, knowledge environment, database, registry, neuroinformatics |
is related to: Neuron Registry Annotated Corpus is related to: Program on Ontologies of Neural Structures has parent organization: George Mason University; Virginia; USA has parent organization: International Neuroinformatics Coordinating Facility |
International Neuroinformatics Coordinating Facility ; under the Program on Ontologies of Neural Structures PONS |
Restricted | nif-0000-00540 | http://incfnrci.appspot.com | SCR_000094 | INCF Neuron Registry | 2025-05-20 11:07:27 | 2 | |||||
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neurospy Resource Report Resource Website |
neurospy (RRID:SCR_007016) | neurospy | software resource, source code | neurospy is a free software for functional imaging of fast neuronal activity. neurospy is a modular cross-platform application framework written in Java for the NetBeans Platform. At this time it runs on Windows XP-based LeCroy oscilloscopes and drives acousto-optic scanners via USB using the Analog Devices 9959 Direct Digital Synthesis chip. This combination makes one of the most powerful systems for scanning microscopy available today at any price. neurospy is very easy to port to other kinds of acquisition and scanning hardware. | imaging, neuron, microscopy, functional imaging, java, neuronal activity |
has parent organization: SourceForge has parent organization: Howard Hughes Medical Institute has parent organization: Salk Institute for Biological Studies has parent organization: University of California at San Diego; California; USA |
Howard Hughes Medical Institute ; NIH |
PMID:17684546 | Open unspecified license | nlx_149367 | SCR_007016 | 2025-05-19 01:51:02 | 0 | ||||||
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neuronPM Resource Report Resource Website |
neuronPM (RRID:SCR_014768) | software resource, software application, standalone software | Client/server application that makes parameter maps for neural simulations written in NEURON. | simulator map, parameter map, neural simulation, neuron, client application, server application | uses: NEURON | Available for download | SCR_014768 | 2025-05-19 01:49:57 | 0 | ||||||||||
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SimTracker Resource Report Resource Website 1+ mentions |
SimTracker (RRID:SCR_014735) | software resource, software application, standalone software | MATLAB-based tool for use with NEURON network models. It supports the modeler with model design, organization, execution (including on supercomputers), analysis, and reproducibility. | matlab, simulation, neuron, neuron network model, model design, model organization, model execution, model analysis, model reproducibility |
uses: MATLAB works with: NEURON |
DOI:10.1101/081927 | Available for download | SCR_014735 | 2025-05-19 01:49:56 | 1 | |||||||||
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Neurolucida Explorer Resource Report Resource Website 50+ mentions |
Neurolucida Explorer (RRID:SCR_017348) | software resource, software application, data analytics software | Companion analytical software for Neurolucida and Neurolucida 360, designed to perform extensive morphometric analysis on neuron reconstructions, serial section reconstructions, and brain maps. | Morphometric, analysis, neuron, reconstruction, section, brain, map, mbfbioscience, MBF Bioscience | Restricted | SCR_017348 | 2025-05-19 01:50:08 | 88 | |||||||||||
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Backyard Brains Resource Report Resource Website |
Backyard Brains (RRID:SCR_000704) | Backyard Brains | material resource, instrument supplier | A commercial company that sells affordable brain recording kits geared for neuroscience education purposes. Their products are meant to mimic electroencephalograms, a tool that measures the electrical activity of neurons. | neuron, eeg, electrophysiology, electroencephalogram, neuroscience, education, school, children | nif-0000-01870 | SCR_000704 | 2025-05-19 01:50:41 | 0 | ||||||||||
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Whole Brain Catalog Resource Report Resource Website 1+ mentions |
Whole Brain Catalog (RRID:SCR_007011) | WBC | simulation software, service resource, software resource, image repository, storage service resource, data repository, software application | THIS RESOURCE IS NO LONGER IN SERVICE, documented May 26, 2016. An open source, downloadable, 3d atlas of the mouse brain and its cellular constituents that allows multi-scale data to be visualized in a seamless way, similar to Google earth. Data within the Catalog is marked up with annotations and can link out to additional data sources via a semantic framework. This next generation open environment has been developed to connect members of the neuroscience community to facilitate solutions for today's intractable challenges in brain research through cooperation and crowd sourcing. The client-server platform provides rich 3-D views for researchers to zoom in, out, and around structures deep in a multi-scale spatial framework of the mouse brain. An open-source, 3-D graphics engine used in graphics-intensive computer gaming generates high-resolution visualizations that bring data to life through biological simulations and animations. Within the Catalog, researchers can view and contribute a wide range of data including: * 3D meshes of subcellular scenes or brain region territories * Large 2D image datasets from both electron and light level microscopy * NeuroML and Neurolucida neuronal reconstructions * Protein Database molecular structures Users of the Whole Brain Catalog can: * Fit data of any scale into the international standard atlas coordinate system for spatial brain mapping, the Waxholm Space. * View brain slices, neurons and their animation, neuropil reconstructions, and molecules in appropriate locations * View data up close and at a high resolution * View their own data in the Whole Brain Catalog environment * View data within a semantic environment supported by vocabularies from the Neuroscience Information Framework (NIF) at http://www.neuinfo.org. * Contribute code and connect personal tools to the environment * Make new connections with related research and researchers 5 Easy Ways to Explore: * Explore the datasets across multiple scales. * View data closely at high resolution. * Observe accurately simulated neurons. * Readily search for content. * Contribute your own research. | crowd sourcing, mouse, brain, cell, neuron, simulation, microscopy, neuroscience, electron microscopy, light microscopy, bioinformatics, neuroinformatics, computational biology, biology, visualization, animation, molecular structure, neuronal reconstruction, subcellular, annotation |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Biositemaps is related to: NeuroLex is related to: Cell Centered Database is related to: Neuroscience Information Framework is related to: INCF Software Center has parent organization: University of California at San Diego; California; USA is parent organization of: Whole Brain Catalog Blog is parent organization of: WholeBrainCatalog's Channel - YouTube |
Waitt Family Foundation | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-23345 | http://www.nitrc.org/projects/incf_whole-brai | SCR_007011 | 2025-05-20 11:11:40 | 5 | ||||||
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Computational Neuroanatomy Group Resource Report Resource Website |
Computational Neuroanatomy Group (RRID:SCR_007150) | CNG | data or information resource, portal, topical portal, software resource | Multidisciplinary research team devoted to the study of basic neuroscience with a specific interest in the description and generation of dendritic morphology, and in its effect on neuronal electrophysiology. In the long term, they seek to create large-scale, anatomically plausible neural networks to model entire portions of a mammalian brain (such as a hippocampal slice, or a cortical column). Achievements by the CNG include the development of software for the quantitative analysis of dendritic morphology, the implementation of computational models to simulate neuronal structure, and the synthesis of anatomically accurate, large scale neuronal assemblies in virtual reality. Based on biologically plausible rules and biophysical determinants, they have designed stochastic models that can generate realistic virtual neurons. Quantitative morphological analysis indicates that virtual neurons are statistically compatible with the real data that the model parameters are measured from. Virtual neurons can be generated within an appropriate anatomical context if a system level description of the surrounding tissue is included in the model. In order to simulate anatomically realistic neural networks, axons must be grown as well as dendrites. They have developed a navigation strategy for virtual axons in a voxel substrate. | dendritic morphology, neuronal morphology, neuronal electrophysiology, mammalian brain, neural network, cell, model, morphology, network connectivity, basal ganglia, modeling software, hippocampus, hermissenda learning, caulescence, tree structure, neuron, virtual neural network, morphological class of neuron, virtual neuron, virtual brain, ca3 pyramidal cell, arborvitae, ca1 pyramidal cell, polymorphic cell, dg granule cell, axonal navigation, synaptic connectivity, neuroplasticity, neuroanatomy, neuroinformatics, computation, network model, neural circuit, cellular event, expression, ca3, ca1 pyramidal neuron, digital morphological reconstruction, digital reconstruction, dendrite, axon, neuronal tree, signaling pathway |
has parent organization: George Mason University: Krasnow Institute for Advanced Study is parent organization of: L-Measure is parent organization of: Hippocampus 3D Model |
NINDS ; NIMH ; NSF ; Human Brain Project |
nif-0000-00503 | http://krasnow.gmu.edu/cn3/index3.html | SCR_007150 | Computational Neuroanatomy Group at the Krasnow Institute for Advanced Study | 2025-05-20 11:11:43 | 0 | ||||||
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ModelDB Resource Report Resource Website 100+ mentions |
ModelDB (RRID:SCR_007271) | ModelDB | data or information resource, service resource, database, storage service resource, data repository | Curated database of published models so that they can be openly accessed, downloaded, and tested to support computational neuroscience. Provides accessible location for storing and efficiently retrieving computational neuroscience models.Coupled with NeuronDB. Models can be coded in any language for any environment. Model code can be viewed before downloading and browsers can be set to auto-launch the models. The model source code has to be available from publicly accessible online repository or WWW site. Original source code is used to generate simulation results from which authors derived their published insights and conclusions. | repository, collection, network, neuron, computational, neuroscience, model, simulation, neural, data |
is used by: NIF Data Federation lists: ModelRun is listed by: 3DVC is listed by: Biositemaps is listed by: Integrated Models is related to: SimToolDB is related to: NeuronDB is related to: NeuronVisio is related to: Integrated Manually Extracted Annotation is related to: Allen Institute for Brain Science has parent organization: Yale University; Connecticut; USA works with: MicrocircuitDB |
NIMH ; NINDS ; NCI ; Human Brain Project ; NIDCD P01 DC004732; NIDCD R01 DC009977 |
PMID:15218350 PMID:15055399 PMID:8930855 |
Free, Freely available, Acknowledgement requested | nif-0000-00004 | SCR_007271 | Model_DB, Model Database, Model DB, Model-DB | 2025-05-20 11:11:45 | 292 | |||||
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MIRROR: FlyBrain, An Online Atlas and Database of the Drosophila Nervous System Resource Report Resource Website 1+ mentions |
MIRROR: FlyBrain, An Online Atlas and Database of the Drosophila Nervous System (RRID:SCR_007661) | data or information resource, software resource, atlas, training resource, software application, data processing software | An interactive database of the Drosophila melanogaster nervous system. It is used by the drosophila neuroscience community and by other researchers studying arthropod brain structure. Flybrain contains neuroanatomical peer reviewed descriptions of the central and peripheral nervous system of Drosophila melanogaster. It also contains an introductory hypertext tour guide to the basic structure of the nervous system, as well as more specific information concerning different anatomical structures, developmental stages, and visualization techniques for the Drosophila nervous system. Additionally, The site contains schematic representations, a 3D project, immunocytology stains, a library of golgi impregnations, and enhancer-trap images. | drosophila melanogaster, drosophila melanogaster nervous system, drosophila melanogaster neuroanatomy, ganglion, gene, 3-dimensional, abdominal, anatomy, arthropod, autofluorescence, chemical, development, developmental, golgi, histology, immunocytology, impregnation, map, model, morphology, nervous system, neuroanatomical, neuroanatomy, neuron, neuropil, periphery, phenotype, structure, thoracic, visualization |
has parent organization: National Institute for Basic Biology; Okazaki; Japan has parent organization: University of Arizona; Arizona; USA has parent organization: University of Freiburg; Baden-Wurttemberg; Germany |
nif-0000-02843 | SCR_007661 | FlyBrain | 2025-05-20 11:11:58 | 5 | |||||||||
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Max Planck Institute for Biological Intelligence Circuits - Computation – Models Resource Report Resource Website |
Max Planck Institute for Biological Intelligence Circuits - Computation – Models (RRID:SCR_008048) | data or information resource, organization portal, portal, department portal | Merger of the Max Planck Institute of Neurobiology and the Max Planck Institute of Ornithology and has been renamed to Circuits - Computation – Models. Department devoted to the study of how the brain computes to understand neural information processing at the level of individual neurons and small neural circuits. | drosophila melanogaster, experimental, expression, flight control, fly, fruitfly, genetic, activity in collaboration with winfried denk (mpi for medical research, analysis, animal, blow fly, brightness, cappiphora vicina, computed, heidelberg), indicator, intracellular, medulla, membrane, motion, natural, nervous, network, neural optic flow, neuron, pharmacology, property, retinal, specie, technique, the knowledge about the fly motion vision system goes into the development of miniature airborne vehicles (internrobofly). t, theoretical, this resource also try to fully reconstruct important parts of the optic lobes of both species at the ultrastructural level using his recently developed serial block face scanning electron microscope (internbluefly). biophysically realistic compartmental models of individual neurons obtained from 2p-image stacks allow us to reconstitute the network of motion processing neurons in computer simulations (internmodelfly). as a joint project with martin bussand kolja kuehnlenz, tissue, vector, visual system, image |
has parent organization: Max-Planck-Gesellschaft has parent organization: Max Planck Institute for Biological Intelligence |
nif-0000-10288 | http://www.neuro.mpg.de/borst, http://www.neuro.mpg.de/english/rd/scn/research/Theory_and_modeling_of_motion_vision/Compartmental_Modeling/Tanbase_-_Download/index.html | SCR_008048 | , Max Planck Institute of Neurobiology Systems and Computational Neurobiology, Circuits - Computation – Models, MPI S&C Neurobiology | 2025-05-20 11:12:18 | 0 | ||||||||
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Eutectic NTS Resource Report Resource Website |
Eutectic NTS (RRID:SCR_008062) | Eutectic NTS | software resource, resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. A hardware and software package with which a scientist could trace the structure of neurons and other neuroscientific features directly from tissue sections or from a stack of their images into a computer. Then it also could edit, merge, filter, display in 3D, and make realistic plots of the structures. The NTS also includes a substantial statistical package that provided many, now standardized, mathematical and statistical summaries that described each neuron and compared one population to another. Additionally, NTS also provided an embryonic electrotonic modeler that simulates and displayes the electrical functioning of a cell. The NTS uses a special purpose graphics display processor called the VDP3 whose output is presented on a very high resolution CRT. During tracing, the VDP3 presents a variable-diameter cursor and other information directly in the microscope and enables tracing at a high spatial resolution and with measurement of process diameters limited only by the microscope''s optics. Control of tracing is done with a 3D joystick that allows easy control of five input variables: X,Y,Z position, cursor diameter, and a numeric tag. Finally, superb 3D interactive displays of completed cells are provided on the VDP3. | embryonic electronic modeler, cell, hardware, microscope, neuron, optics, software, neuronal tree structure, dendritic tree, segmentation, instrument, equipment | NIDA contract HHSN271200577531C | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10453 | SCR_008062 | The Eutectic Neuron Tracing System | 2025-05-20 11:12:19 | 0 | |||||||
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Neurostruct Resource Report Resource Website 1+ mentions |
Neurostruct (RRID:SCR_008861) | Neurostruct | segmentation software, image analysis software, software resource, software application, data processing software | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 16, 2013. A built-in toolbox for the tracing and analysis of neuroanatomy from nanoscale (high-resolution) imaging. It is a project under ongoing development. The name is originating by merging the words Neuron + reconstruct. The working concept is organized in filters applied successively on the image stack to be processed (pipeline). Currently, the focus of the software is the extraction of detailed neuroanatomical profiles from nanoscale imaging techniques, such as the Serial Block-Face Scanning Electron Microscopy (SBFSEM). The techniques applied, however, may be used to analyze data from various imaging methods and neuronal versatility. The underlying idea of Neurostruct is the use of slim interfaces/filters allowing an efficient use of new libraries and data streaming. The image processing follows in voxel pipelines by using the CUDA programming model and all filters are programmed in a datasize-independent fashion. Thus Neurostruct exploits efficiency and datasize-independence in an optimal way. Neurostruct is based on the following main principles: * Image processing in voxel pipelines using the general purpose graphics processing units (GPGPU) programming model. * Efficient implementation of these interfaces. Programming model and image streaming that guarantees a minimal performance penalty. * Datasize-independent programming model enabling independence from the processed image stack. * Management of the filters and IO data through shell scripts. The executables (filters) are currently managed through shell scripts. The application focuses currently in the tracing of single-biocytin filled cells using SBFSEM imaging. : * Extraction of neuroanatomical profiles: 3D reconstrution and 1D skeletons of the imaged neuronal structure. * Complete tracing: Recognition of the full neuronal structure using envelope techniques, thereby remedying the problem of spines with thin necks of an internal diameter approaching the SBFSEM resolution. * Separation (Coloring) of subcellular structures: Algorithms for the separation of spines from their root dendritic stem. * Evaluation and analysis of the imaged neuroanatomy: Calculation of the dendritic and spine membrane''s surface, spine density and variation, models of dendrites and spines | neuroanatomy, imaging, analysis, tracing, electron microscopy, neuron, image processing, image reconstruction, serial block face scanning electron microscopic imaging assay |
has parent organization: Heidelberg University; Baden-Wurttemberg; Germany has parent organization: Max Planck Institute for Biological Intelligence |
PMID:21424815 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149368 | SCR_008861 | Neurostruct - Project: Image and object processing filters for the tracing and analysis of neuroanatomy, Neurostruct-Project, Neurostruct - Project | 2025-05-20 11:12:58 | 1 |
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If you have an account on RRID then you can log in from here to get additional features in RRID such as Collections, Saved Searches, and managing Resources.
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If you are logged into RRID you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the facets that you can filter the data by.
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.
