Last modified by graber on 2023/09/28 09:25
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graber 32.1 1 (% style="text-align: center;" %)
annedevismes 43.1 2 === Welcome to the single entry point to user-level documentation for EBRAINS tools and services. Here, you can find a list of EBRAINS offerings, sorted by topic, and their documentation links. ===
sarakonradi 9.1 3
graber 32.1 4 === Collaboratory ===
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graber 78.1 6 |(% style="width:30%" %)**[[Collaboratory>>url:https://wiki.ebrains.eu/bin/view/Collabs/the-collaboratory/]]**
graber 82.2 7 Workspaces in the Cloud for your research, development, documentation, and collaboration. |
graber 35.1 8
graber 32.1 9 === Find data ===
graber 35.1 10
graber 75.1 11 |(% style="width:33%" %)**[[EBRAINS Knowledge Graph>>url:https://kg.ebrains.eu/]]**
12 A user-driven, data-sharing and data-management infrastructure accelerating scientific progress by providing access to large collections of curated, heterogeneous neuroscience data.|(% style="width:33%" %)**[[KnowledgeSpace>>https://knowledge-space.org/documentation/#what_is_ks]]**
13 Encyclopedia and open data access portal for neuroscience that serves as a framework where large-scale neuroscience projects can expose their data to the neuroscience community-at-large.|(% style="width:33%" %)**[[fairgraph>>url:https://fairgraph.readthedocs.io/en/latest/]]**
graber 36.1 14 Python API for the Human Brain Project Neural Activity Resource, capable of changing, and working with Metadata|
graber 77.1 15 |(% style="width:33%" %)**[[Model Catalog>>https://model-catalog.brainsimulation.eu/docs/]]**
graber 76.1 16 The EBRAINS Model Catalog allows you to find information about neuroscience models developed and/or used within the EBRAINS research infrastructure, and about results obtained using those models, in particular about how those models have been validated against experimental findings. |(% style="width:33%" %) |(% style="width:33%" %) |
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graber 32.1 18 === Share data ===
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graber 78.1 20 |(% style="width:33%" %)**[[Data curation>>url:https://wiki.ebrains.eu/bin/view/Collabs/data-curation ]]**
21 The place to share your neuroscience data on the EBRAINS platform.|(% style="width:33%" %)**[[Data publishing>>url:https://ebrains.eu/services/data-knowledge/share-data/guidelines/]]**
22 The place to submit your dataset for publication along with a manuscript for a peer-reviewed journal.|
graber 35.1 23
graber 32.1 24 === Brain atlases ===
graber 35.1 25
graber 78.1 26 |(% style="width:33%" %)**[[PyJuGEx>>url:https://www.fz-juelich.de/inm/inm-1/DE/Forschung/_docs/JuGex/JuGex_node.html]]**
27 Find a set of differentially expressed genes between two user defined volumes of interest based on JuBrain maps.|(% style="width:33%" %)**[[Julich-Brain Gene Expression>>url:https://www.fz-juelich.de/inm/inm-1/DE/Forschung/_docs/JuGex/JuGex_node.html]]**
28 Decoding the chain from genes to cognition requires detailed insights how areas with specific gene activities and microanatomical architectures contribute to brain function and dysfunction.|(% style="width:33%" %)**[[QuickNII>>url:https://quicknii.readthedocs.io]]**
graber 48.1 29 QuickNII is a tool for user guided affine registration (anchoring) of 2D experimental image data, typically high resolution microscopic images, to 3D atlas reference space, facilitating data integration through standardized coordinate systems.|
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graber 78.1 31 |(% style="width:33%" %)**[[siibra-explorer>>url:https://siibra-explorer.readthedocs.io/en/latest/]]**
32 siibra-explorer is a browser-based viewer for the visual exploration of the EBRAINS atlases at microscopic detail, as well as the discovery of related multimodal data features. It is tightly integrated with the EBRAINS Knowledge Graph, allowing the seamless querying of semantically and spatially anchored datasets.|(% style="width:33%" %)**[[siibra-python>>url:https://siibra-python.readthedocs.io/en/latest/]]**
33 siibra-python is a comprehensive Python client providing access to EBRAINS atlases and offering an easy and well-structured way to include maps, reference templates, region definitions and linked datasets in reproducible programmatic workflows.|(% style="width:33%" %)**[[VoluBA>>url:https://voluba-user-doc.apps-dev.hbp.eu/]]**
graber 48.1 34 VoluBA (Volumetric Brain Anchoring) is an online service for anchoring of high-resolution volumes of interest from imaging experiments to very large reference volumes.|
graber 24.1 35
graber 78.1 36 |(% style="width:33%" %)**[[VisuAlign>>url:https://visualign.readthedocs.io]]**
37 VisuAlign is a tool for applying user-guided nonlinear refinements (inplane) to an existing, affine 2D-to-3D registration, such as created using QuickNII.|(% style="width:33%" %)**[[WebAlign>>url:https://webalign.readthedocs.io]]**
38 WebAlign is an online tool for spatial registration of histological section images from rodent brains to reference 3D atlases.|(% style="width:33%" %)**[[WebWarp>>url:https://webwarp.readthedocs.io/en/latest/index.html]]**
graber 65.1 39 WebWarp is an online tool for nonlinear refinement of spatial registration of histological section images from rodent brains to reference 3D atlases.|
graber 61.1 40
graber 32.1 41 === Data analysis ===
graber 35.1 42
graber 78.1 43 |(% style="width:33%" %)**[[Elephant>>url:https://elephant.readthedocs.io/en/latest/index.html]]**
44 Elephant is an open-source Python library for the analysis of neurophysiology data, using Neo data structures.|(% style="width:33%" %)**[[HBP Validation Framework - Python Client>>url:http://hbp-validation-client.readthedocs.io/]]**
45 A Python package for working with the Human Brain Project Model Validation Framework.|(% style="width:33%" %)**[[Neo>>url:https://neo.readthedocs.io/en/stable/]]**
graber 36.1 46 an object model for handling electrophysiology data in multiple formats.|
graber 55.1 47
graber 78.1 48 |(% style="width:33%" %)**[[Neo Viewer>>url:https://neo-viewer.brainsimulation.eu/]]**
49 Django/Angular software for graphing neural activity data (analog signals, spike trains etc.) read from Neo files.|(% style="width:33%" %)**[[NeuroScheme>>url:https://neuroscheme-documentation.readthedocs.io/en/latest/]]**
50 NeuroScheme is a tool for navigating, exploring, creating and interacting with NeuroScience data using abstract, schematic or expressive representations.|(% style="width:33%" %)**[[NeuroTessMesh>>url:https://neurotessmesh-documentation.readthedocs.io/en/latest/]]**
graber 36.1 51 A Tool for the Generation and Visualization of Neuron Meshes and Adaptive On-the-Fly Refinement|
graber 55.1 52
graber 78.1 53 |(% style="width:33%" %)**[[Nutil>>url:https://nutil.readthedocs.io/en/latest/]]**
54 Nutil aims to both simplify and streamline the mechanism of pre-and-post processing 2D brain image data from mouse and rat.|(% style="width:33%" %)**[[ViSimpl>>url:https://visimpl-documentation.readthedocs.io/en/latest/]]**
55 ViSimpl integrates a set of visualization and interaction tools that provide a multi-view visual analysis of brain simultation data.|(% style="width:33%" %)**[[ilastik>>url:http://ilastik.org/documentation/index.html]]**
graber 36.1 56 ilastik is a simple, user-friendly tool for interactive image classification, segmentation and analysis.|
graber 55.1 57
graber 78.1 58 |(% style="width:33%" %)**[[Brain-cockpit>>url:https://alexisthual.github.io/brain-cockpit/]]**
59 Web-based application to explore large fMRI datasets and inter-subject alignments.|(% style="width:33%" %)**[[Cobrawap>>url:https://cobrawap.readthedocs.io/]]**
60 Cobrawap is a Python-based, adaptable, and reusable pipeline for analyzing cortical wave activity.|(% style="width:33%" %)**[[Viziphant>>url:https://viziphant.readthedocs.io/en/latest/index.html]]**
graber 55.1 61 Viziphant provides an easy way to generate plots and interactive visualizations of neuroscientific data and analysis results|
graber 35.1 62
graber 78.1 63 |(% style="width:33%" %)**[[MeshView>>url:https://meshview-for-brain-atlases.readthedocs.io]]**
64 MeshView is a web application for real-time 3D display of surface mesh data representing structural parcellations from volumetric atlases, such as the Waxholm Space Atlas of the Sprague Dawley Rat Brain.|(% style="width:33%" %)**[[LocaliZoom>>url:https://localizoom.readthedocs.io/en/latest/]]**
65 Web application for viewing of series of high-resolution 2D images that have been anchored to reference atlases.|(% style="width:33%" %)**[[BluePyEfe>>url:https://bluepyefe.readthedocs.io/en/latest/]]**
graber 67.1 66 BluePyEfe eases the process of reading and extracting electircal features from experimental recordings.|
graber 61.1 67
graber 74.1 68 |(% style="width:33%" %)**[[eFEL: Electrophys Feature Extraction Library>>url:https://efel.readthedocs.io/en/latest]]**
graber 79.1 69 Automatically extract eFeatures from time series data recorded from neurons, both in vitro and in silico.|(% style="width:33%" %)**[[Model Validation API>>https://validation.brainsimulation.eu/docs]]**
graber 80.1 70 The EBRAINS Model Validation Service is a web service to support the structured validation of neuroscience models. | (% style="width:33%" %)**[[Frites>>https://brainets.github.io/frites/overview/index.html]]**(%%)
graber 84.1 71 (% style="width:33%" %)Frites is an open-source Python software to analyze neurophysiological data using information theoretical (IT) measures|
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graber 84.1 73 |(% style="width:33%" %)**[[Synaptic events analyzer>>https://ebrains-cls-interactive.github.io/online-use-cases.html#/single_cell_modeling]]**
74 Fitting synaptic events using data and model in NeuroInformatics Platform|
75
graber 32.1 76 === Simulation ===
graber 35.1 77
graber 78.1 78 |(% style="width:33%" %)**[[Arbor>>url:https://docs.arbor-sim.org]]**
79 Arbor is a library for implementing performance portable network simulations of multi-compartment neuron models.|(% style="width:33%" %)**[[BluePyMM>>url:https://bluepymm.readthedocs.io/en/latest/index.html]]**
80 Model Management Python Library|(% style="width:33%" %)**[[BluePyOpt>>url:https://bluepyopt.readthedocs.io/en/latest/]]**
graber 36.1 81 BluePyOpt is an extensible framework for data-driven model parameter optimisation that wraps and standardizes several existing open-source tools.|
graber 46.1 82
graber 78.1 83 |(% style="width:33%" %)**[[CoreNeuron>>url:https://github.com/BlueBrain/CoreNeuron]]**
84 CoreNeuron implements the core functionalities of the NEURON simulator targeting high efficiency when using millions of threads.|(% style="width:33%" %)**[[Hodgkin Huxley Neuron Builder>>url:https://humanbrainproject.github.io/hbp-sp6-guidebook/online_usecases/single_cell_building/hippocampus/p1_hh_neuron_builder/p1_hh_neuron_builder.html]]**
85 The Hodgkin-Huxley Neuron Builder web-application is a use case that allows the user to interactively go through the entire single cell model building pipeline.|(% style="width:33%" %)**[[Multi-scale brain simulation with TVB-NEST>>url:https://github.com/the-virtual-brain/tvb-multiscale/tree/master/docs]]**
graber 36.1 86 Simulate multi-scale brain network models with TVB and NEST.|
graber 46.1 87
graber 78.1 88 |(% style="width:33%" %)**[[NEST>>url:https://nest-simulator.readthedocs.io]]**
89 NEST is a simulator for spiking neural network models that focuses on the dynamics, size and structure of neural systems rather than on the exact morphology of individual neurons|(% style="width:33%" %)**[[NEST Desktop>>url:https://nest-desktop.readthedocs.io]]**
90 A web-based GUI application for NEST simulator.|(% style="width:33%" %)**[[NESTML>>url:https://nestml.readthedocs.io/en/latest/]]**
graber 36.1 91 A domain specific language to describe neuron models in NEST.|
graber 46.1 92
graber 78.1 93 |(% style="width:33%" %)**[[NEURON>>url:https://www.neuron.yale.edu/neuron/docs]]**
94 Simulation enviroment for building and using computational models of neurons and networks of neurons|(% style="width:33%" %)**[[NeuroM>>url:https://neurom.readthedocs.io/en/v1.4.17/]]**
95 NeuroM is a Python toolkit for the analysis and processing of neuron morphologies.|(% style="width:33%" %)**[[PyNN>>url:http://neuralensemble.org/docs/PyNN/]]**
graber 36.1 96 A Python package for simulator-independent specification of neuronal network models.|
graber 46.1 97
graber 78.1 98 |(% style="width:33%" %)**[[TVB image processing pipeline>>url:https://ebrains.eu/]]**
99 This pipeline combines the BIDS Apps mrtrix3_connectome, fmriprep and tvb_converter into a neuroimaging pipeline to compute structural and functional connectomes from MRI data.|(% style="width:33%" %)**[[TVB-HPC>>url:https://github.com/the-virtual-brain/tvb-hpc/tree/master/docs]]**
100 This is a Python package for generating code for parameter sweeps and Bayesian inversion.|(% style="width:33%" %)**[[The Virtual Brain>>url:http://docs.thevirtualbrain.org/index.html]]**
graber 36.1 101 "The Virtual Brain" Project (TVB Project) has the purpose of offering modern tools to the Neurosciences community, for computing, simulating and analyzing functional and structural data of human brains, brains modeled at the level of population of neurons.|
graber 46.1 102
graber 78.1 103 |(% style="width:33%" %)**[[The Virtual Brain Web-App>>url:http://docs.thevirtualbrain.org/]]**
104 The Virtual Brain Web App at HBP.|(% style="width:33%" %)**[[NeuroR>>url:https://neuror.readthedocs.io/]]**
105 NeuroR is a collection of tools to repair morphologies.|(% style="width:33%" %)**[[LFPy>>url:https://lfpy.readthedocs.io/]]**
graber 49.1 106 LFPy is a Python module for the calculation of extracellular potentials and magnetic signals from activity in multicompartment neuron and network models.|
graber 46.1 107
graber 78.1 108 |(% style="width:33%" %)**[[Snudda>>url:https://github.com/Hjorthmedh/Snudda/wiki]]**
109 Snudda is a tool that allows the user to place neurons within multiple volumes, then performs touch detection to infer where putative synapses are based on reconstructed neuron morphologies.|(% style="width:33%" %)**[[BlueNaaS-Subcellular>>url:https://subcellular-bsp-epfl.apps.hbp.eu/static/docs.html]]**
110 BlueNaaS-Subcellular is designed as a web based environment for the creation and simulation of reaction-diffusion models.|(% style="width:33%" %)**[[libsonata>>url:https://libsonata.readthedocs.io/en/stable/]]**
graber 60.2 111 A C++ / Python API for reading SONATA circuit files.|
sarakonradi 25.1 112
graber 78.1 113 |(% style="width:33%" %)**[[Brain Scaffold Builder>>url:https://bsb.readthedocs.io/]]**
114 The BSB is a framework for reconstructing and simulating multi-paradigm neuronal network models. It removes much of the repetitive work associated with writing the required code and lets you focus on the parts that matter. It helps write organized, well-parametrized and explicit code understandable and reusable by your peers.|(% style="width:33%" %)**[[InSite>>url:https://vrgrouprwth.github.io/insite/]]**
115 Insite provides a middleware that enables users to acquire data from NEST, Abror and TVB via the in-transit paradigm.|(% style="width:33%" %)**[[Subcellular model building and calibration toolset>>url:https://github.com/icpm-kth]]**
graber 66.1 116 Tools for data-driven building of subcellular biochemical signaling pathway models, including interoperable modules for model building, calibration, and model analysis.|
graber 64.1 117
graber 80.1 118 |(% style="width:33%" %)**[[Arbor GUI>>https://github.com/arbor-sim/gui]]**
graber 82.2 119 Arbor GUI is a comprehensive tool for building single cell models using Arbor. It strives to be self-contained, fast, and easy to use. |(% style="width:33%" %)**[[SSBtoolkit>>https://ssbtoolkit.readthedocs.io/en/latest/]]**
graber 84.1 120 The SSB computational toolkit was developed to easily predict classical pharmacodynamic models of drug-GPCR (class A) interactions given just as input structural information of the receptor and the ligand. |(% style="width:33%" %)**[[Synaptic plasticity>>https://ebrains-cls-interactive.github.io/online-use-cases.html#/single_cell_modeling]]**
121 Configure and test different synaptic plasticity models and protocols|
graber 80.1 122
graber 32.1 123 === Neurorobotics ===
graber 35.1 124
graber 78.1 125 |(% style="width:33%" %)**[[Neurorobotics Platform>>url:https://www.neurorobotics.net/Documentation/nrp/user_manual/index.html]]**
graber 81.1 126 The NRP supports closed-loop neuroscience and embodied AI by connecting brains and bodies in simulation.|
graber 35.1 127
graber 32.1 128 === Medical data analytics ===
graber 35.1 129
graber 78.1 130 |(% style="width:33%" %)**[[Bids Manager & Pipeline>>url:https://github.com/Dynamap/BIDS_Manager]]**
131 Bids Manager is a tool that allows various users to easily import and explore databases in BIDS format. Bids Pipeline, an extension of Bids Manager, allows to launch process on BIDS database.|(% style="width:33%" %)**[[Brainstorm>>url:https://neuroimage.usc.edu/brainstorm/Introduction]]**
graber 49.1 132 Brainstorm is a collaborative, open-source application dedicated to the analysis of brain recordings:
graber 78.1 133 MEG, EEG, fNIRS, ECoG, depth electrodes and multiunit electrophysiology.|(% style="width:33%" %)**[[HiBoP>>url:https://collab.humanbrainproject.eu/#/collab/78584/nav/531987?state=uuid%3Df72e40d9-a0bf-4ab7-8a27-462911107c5f]]**
graber 49.1 134 3D visualization software for intracranial EEG.|
graber 35.1 135
graber 78.1 136 |(% style="width:33%" %)**[[ImaGIN>>url:https://wiki.ebrains.eu/bin/view/Collabs/quicknii-and-visualign]]**
137 SPM-based Matlab toolbox for processing intracranial EEG recordings (SEEG and ECOG).|(% style="width:33%" %)**[[IntranAt Electrodes>>url:https://intranat.readthedocs.io/]]**
138 A software to visualize electrodes implantation on image data and prepare database for group studies.|(% style="width:33%" %)**[[Medical Informatics Platform (MIP)>>url:https://github.com/HBPMedical/mip-docs]]**
graber 54.2 139 The MIP is an open-source platform enabling federated data analysis in a secure environment for centers interested in initiating or joining disease-oriented federations with the aim of analyzing large-scale distributed clinical datasets.|
graber 45.1 140
graber 78.1 141 |(% style="width:33%" %)**[[Human Intracerebral EEG Platform (HIP)>>url:https://hip-infrastructure.github.io/build/html/index.html]]**
graber 82.1 142 The HIP is a state-of-the-art open-source platform, offering integrated tools and workflows for optimized collection, storage, sharing, processing and analysis of multiscale Human intracerebral EEG data. |
graber 54.1 143
graber 32.1 144 === Neuromorphic computing ===
graber 35.1 145
graber 78.1 146 |(% style="width:33%" %)**[[BrainScaleS>>url:https://wiki.ebrains.eu/bin/view/Collabs/neuromorphic/BrainScaleS/]]**
147 Neural network emulation in 1000x accelerated biological real-time.|(% style="width:33%" %)**[[Neuromorphic Platform Python client>>url:https://electronicvisions.github.io/hbp-sp9-guidebook/]]**
148 Client software for the Human Brain Project Neuromorphic Computing Platform.|(% style="width:33%" %)**[[SpiNNaker Jupyter Service>>url:https://spinnakermanchester.github.io/common_pages/5.0.0/How_to_use_Jupyter_notebooks_on_SpiNNaker.pdf]]**
graber 36.1 149 Jupyter notebook service running next to the SpiNNaker 1Million machine in Manchester.|
graber 78.1 150 |(% style="width:33%" %)**[[SpiNNaker Local Boards>>url:https://spinnakermanchester.github.io/]]**
151 Physical SpiNNaker boards that are loaned to or owned by individuals or groups, but not connected to the SpiNNaker 1Million machine in Manchester.|(% style="width:33%" %)**[[SpiNNaker Machine>>url:https://spinnakermanchester.github.io/]]**
152 The SpiNNaker 1Million core machine in Manchester consisting of 1200 SpiNNaker boards.|(% style="width:33%" %)**[[SpiNNaker Remote Access>>url:https://flagship.kip.uni-heidelberg.de/jss/FileExchange/D9.7.1_Neuromorphic_Platform_Specification_-_public_version.pdf?fID=1887&s=qqdXDg6HuX3&uID=65]]**
graber 36.1 153 The SpiNNaker batch execution service allowing Neuromorphic Computing Platform jobs to be run on the SpiNNaker 1Million machine in Manchester.|
graber 78.1 154 |(% style="width:33%" %)**[[SpiNNaker Software>>url:https://spinnakermanchester.github.io/]]**
155 The Software used to compile and execute Neural Networks described in PyNN on SpiNNaker hardware.|(% style="width:33%" %)**[[SpiNNaker-NRP integration>>url:https://spinnakermanchester.github.io/common_pages/5.0.0/How_to_use_Jupyter_notebooks_on_SpiNNaker.pdf]]**
graber 23.1 156 Allows the NRP to use SpiNNaker as a brain for robotic simulations.
graber 35.1 157
graber 32.1 158 === High-performance computing ===
graber 35.1 159
graber 78.1 160 |(% style="width:33%" %)**[[Fenix>>url:https://fenix-ri.eu/about-fenix/documentation]]**
161 Delivering e-infrastructure services federated as the Fenix Infrastructure.|(% style="width:33%" %)**[[SLURM plugin for the co-allocation of compute and data resources>>url:https://github.com/HumanBrainProject/coallocation-slurm-plugin/blob/master/README.md]]**
162 A plugin for SLURM used for the co-allocation of compute and data resources.|(% style="width:33%" %)**[[Unicore>>url:https://www.unicore.eu/documentation/]]**
graber 36.1 163 A set of software components for federated access to high-performance compute and data resources.|
graber 12.1 164
graber 83.1 165 === Sensitve Data ===
166
167 |(% style="width:33%" %)**[[Health Data Cloud>>https://xwiki.hdc.humanbrainproject.eu/bin/view/userguide/]]**
168 EBRAINS Service for Sensitive Data provides a federated network of protected and audited secure Virtual Research Environments that enables users to demonstrate compliance with EU data protection law when processing human data such as digital human brain twins. The service is provided by Europe’s largest University Hospital, Charité Berlin. |(% style="width:33%" %) |(% style="width:33%" %) |
169
graber 32.1 170 === Support ===
sarakonradi 9.1 171
graber 32.1 172 Contact the [[EBRAINS High Level Support Team (HLST)>>https://ebrains.eu/support/]] if you have questions about our tools, services and workflows.