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usecases-info.json
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[
{
"title": "Trace Analysis",
"id": "traceanalysis",
"usecases": [
{
"id": "featureExtraction",
"title": "NeuroFeatureExtract",
"description": "Extracts electrophysiological features; traces can be from HBP/EBRAINS or uploaded",
"experience": ["all"],
"maturity": ["beta"],
"access": null,
"disabled": false,
"implementation": "webapp",
"contributors": [
{ "name": "Luca Leonardo Bologna", "email": "[email protected]" },
{ "name": "Roberto Smiriglia", "email": "[email protected]" },
{ "name": "Dario Curreri", "email": "[email protected]" }
],
"picture": {
"src": "https://raw.githubusercontent.com/ebrains-cls-interactive/usecases-info/develop/images/traceanalysis/features.png"
},
"dataProtected": true,
"externalUrl": "https://hhnb.ebrains-italy.eu/efelg/",
"tutorial": "https://object.cscs.ch/v1/AUTH_c0a333ecf7c045809321ce9d9ecdfdea/web-resources-bsp/cls-video-tutorial/NFE/NFE_video_tutorial_v01.mp4"
},
{
"id": "synapticEventsFitting",
"title": "Synaptic events fitting",
"description": "Fitting synaptic events using data and model in NeuroInformatics Platform",
"experience": ["power"],
"access": ["hpc"],
"maturity": ["beta"],
"disabled": false,
"implementation": "ipynb",
"contributors": [
{ "name": "Carmen Alina Lupascu", "email": "[email protected]" },
{ "name": "Roberto Smiriglia", "email": "[email protected]" },
{ "name": "Luca Leonardo Bologna", "email": "[email protected]" },
{ "name": "Dario Curreri", "email": "[email protected]" }
],
"picture": {
"src": "https://raw.githubusercontent.com/ebrains-cls-interactive/usecases-info/develop/images/traceanalysis/bestfit.png"
},
"dataProtected": true,
"notebookPath": "Synaptic events fitting.ipynb",
"notebookRepoUrl": "https://github.com/ebrains-cls-interactive/Synaptic_Events_Fitting&branch=main",
"tutorial": "https://object.cscs.ch/v1/AUTH_c0a333ecf7c045809321ce9d9ecdfdea/web-resources-bsp/bsp-video-tutorials/SynapticEventsFitting/index.html"
},
{
"id": "simplifiedSynapticEventsFitting",
"title": "Simplified synaptic events fitting",
"description": "Fitting synaptic events using data and model in NeuroInformatics Platform",
"experience": ["power"],
"access": ["hpc"],
"maturity": ["beta"],
"disabled": true,
"implementation": "ipynb",
"contributors": [
{ "name": "Carmen Alina Lupascu", "email": "[email protected]" },
{ "name": "Roberto Smiriglia", "email": "[email protected]" },
{ "name": "Luca Leonardo Bologna", "email": "[email protected]" },
{ "name": "Dario Curreri", "email": "[email protected]" }
],
"picture": {
"src": "https://raw.githubusercontent.com/ebrains-cls-interactive/usecases-info/develop/images/traceanalysis/bestfit.png"
},
"dataProtected": true,
"notebookPath": "Synaptic events fitting.ipynb",
"notebookRepoUrl": "https://github.com/ebrains-cls-interactive/Simplified_Synaptic_Events_Fitting&branch=main",
"tutorial": "https://object.cscs.ch/v1/AUTH_c0a333ecf7c045809321ce9d9ecdfdea/web-resources-bsp/bsp-video-tutorials/SynapticEventsFitting/index.html"
},
{
"id": "synapticEventsFittingUserModel",
"title": "Synaptic events fitting with user model",
"description": "Fitting synaptic events using data in NeuroInformatics Platform and user's model",
"experience": ["experts"],
"access": ["hpc"],
"maturity": ["beta"],
"disabled": false,
"implementation": "ipynb",
"contributors": [
{ "name": "Carmen Alina Lupascu", "email": "[email protected]" },
{ "name": "Luca Leonardo Bologna", "email": "[email protected]" },
{ "name": "Dario Curreri", "email": "[email protected]" }
],
"picture": {
"src": "https://raw.githubusercontent.com/ebrains-cls-interactive/usecases-info/develop/images/traceanalysis/bestfit.png"
},
"dataProtected": true,
"notebookPath": "Synaptic events fitting with user model.ipynb",
"notebookRepoUrl": "https://github.com/ebrains-cls-interactive/Synaptic_Events_Fitting_User_Model&branch=main",
"tutorial": "https://object.cscs.ch/v1/AUTH_c0a333ecf7c045809321ce9d9ecdfdea/web-resources-bsp/bsp-video-tutorials/SynapticEventsFittingWithUserModel/index.html"
},
{
"id": "synapticEventsFittingUserData",
"title": "Synaptic events fitting with user data",
"description": "Fitting user's synaptic events data with model from NeuroInformatics Platform",
"experience": ["experts"],
"access": ["hpc"],
"maturity": ["beta"],
"disabled": false,
"implementation": "ipynb",
"contributors": [
{ "name": "Carmen Alina Lupascu", "email": "[email protected]" },
{ "name": "Luca Leonardo Bologna", "email": "[email protected]" },
{ "name": "Dario Curreri", "email": "[email protected]" }
],
"picture": {
"src": "https://raw.githubusercontent.com/ebrains-cls-interactive/usecases-info/develop/images/traceanalysis/bestfit.png"
},
"dataProtected": true,
"notebookPath": "Synaptic events fitting with user data.ipynb",
"notebookRepoUrl": "https://github.com/ebrains-cls-interactive/Synaptic_Events_Fitting_User_Data&branch=main",
"tutorial": "https://object.cscs.ch/v1/AUTH_c0a333ecf7c045809321ce9d9ecdfdea/web-resources-bsp/bsp-video-tutorials/SynapticEventsFittingWithUserData/index.html"
}
]
},
{
"title": "Single Cell Modeling",
"id": "singlecellmodeling",
"usecases": [
{
"id": "hodgkinHuxleyNeuronBuilder",
"title": "Hodgkin-Huxley Neuron Builder",
"description": "Use the eFEL and BluePyOpt libraries to go through the entire neuron builder pipeline: 1) feature extraction, 2) model optimization, 3) simulation.",
"experience": ["all"],
"access": ["hpc"],
"maturity": ["beta"],
"disabled": false,
"implementation": "webapp",
"dataProtected": true,
"contributors": [
{ "name": "Luca Leonardo Bologna", "email": "[email protected]" }
],
"picture": {
"src": "https://raw.githubusercontent.com/ebrains-cls-interactive/usecases-info/develop/images/singlecellmodeling/hhnb.png"
},
"externalUrl": "https://hhnb.ebrains-italy.eu/hh-neuron-builder/",
"tutorial": "https://object.cscs.ch/v1/AUTH_c0a333ecf7c045809321ce9d9ecdfdea/web-resources-bsp/bsp-video-tutorials/HodgkinHuxleyNeuronBuilder/index.html"
},
{
"id": "buildHippocampalCellModel",
"title": "Build your own single hippocampal cell model using HBP data",
"description": "Use the BluePyOpt to run an optimization choosing from HBP data for morphology, channel kinetics, features, and parameters.",
"contributors": [
{ "name": "Carmen Alina Lupascu", "email": "[email protected]" },
{ "name": "Roberto Smiriglia", "email": "[email protected]" },
{ "name": "Luca Leonardo Bologna", "email": "[email protected]" },
{ "name": "Dario Curreri", "email": "[email protected]" }
],
"maturity": ["beta"],
"experience": ["power"],
"access": null,
"disabled": false,
"implementation": "ipynb",
"picture": {
"src": "https://raw.githubusercontent.com/ebrains-cls-interactive/usecases-info/develop/images/singlecellmodeling/objectives.png"
},
"dataProtected": true,
"notebookPath": "BuildOwn Single HippoCell - Config.ipynb",
"notebookRepoUrl": "https://github.com/ebrains-cls-interactive/BuildOwn_Single_HippoCell&branch=main",
"chooseModel": false
},
{
"id": "rebuildHippocampalCellModel",
"title": "Rebuild an existing single hippocampal cell model",
"description": "Use the BluePyOpt to re-run an optimization with your choices for the parameters range",
"contributors": [
{ "name": "Carmen Alina Lupascu", "email": "[email protected]" },
{ "name": "Roberto Smiriglia", "email": "[email protected]" },
{ "name": "Luca Leonardo Bologna", "email": "[email protected]" },
{ "name": "Dario Curreri", "email": "[email protected]" }
],
"maturity": ["beta"],
"experience": ["power"],
"access": null,
"disabled": false,
"implementation": "ipynb",
"picture": {
"src": "https://raw.githubusercontent.com/ebrains-cls-interactive/usecases-info/develop/images/singlecellmodeling/objectives.png"
},
"dataProtected": false,
"chooseModel": true,
"notebookPath": "Rebuild Single HippoCell - Config.ipynb",
"notebookRepoUrl": "https://github.com/ebrains-cls-interactive/Rebuild_Single_HippoCell&branch=main"
},
{
"id": "synapticPlasticity",
"title": "Synaptic plasticity",
"description": "Configure and test different synaptic plasticity models and protocols",
"contributors": [
{ "name": "Carmen Alina Lupascu", "email": "[email protected]" },
{ "name": "Dario Curreri", "email": "[email protected]" }
],
"maturity": ["beta"],
"experience": ["all"],
"access": null,
"disabled": false,
"implementation": "ipynb",
"picture": {
"src": "https://raw.githubusercontent.com/ebrains-cls-interactive/usecases-info/develop/images/singlecellmodeling/Plasticity2.png"
},
"dataProtected": false,
"chooseModel": true,
"notebookPath": "Synaptic plasticity.ipynb",
"notebookRepoUrl": "https://github.com/ebrains-cls-interactive/Synaptic_Plasticity&branch=main"
},
{
"id": "cerebellumGrCMono",
"title": "Mono compartmental Cerebellar Granule cell optimization",
"description": "Using BluePyOpt to optimize a single compartmental cerebellar granule cell. All the parameters, channels and morphology can be modified. This version runs directly on the Collaboratory and it is limited to small optimization.",
"contributors": [
{ "name": "Stefano Masoli", "email": "[email protected]" },
{ "name": "Martina Rizza", "email": "[email protected]" }
],
"maturity": ["beta"],
"experience": ["all"],
"access": null,
"disabled": false,
"implementation": "ipynb",
"picture": {
"src": "https://raw.githubusercontent.com/ebrains-cls-interactive/usecases-info/develop/images/singlecellmodeling/compartimental_objectives.png"
},
"dataProtected": true,
"notebookPath": "Mono compartmental Cerebellar Granule cell optimization.ipynb",
"notebookRepoUrl": "https://github.com/ebrains-cls-interactive/Cerebellum_GrC_mono&branch=main",
"chooseModel": false
},
{
"id": "cerebellumGrCMulti",
"title": "Multi compartmental Cerebellar Granule cell optimization",
"description": "Using BluePyOpt to optimize a multcompartmental cerebellar granule cell composed by four dendrites, soma and a custom multi segmented axon. All the parameters, channels and morphology can be modified. This version runs directly on the collaboratory and it is limited to small optimizations",
"contributors": [
{ "name": "Stefano Masoli", "email": "[email protected]" },
{ "name": "Martina Rizza", "email": "[email protected]" }
],
"maturity": ["beta"],
"experience": ["all"],
"access": null,
"disabled": false,
"implementation": "ipynb",
"picture": {
"src": "https://raw.githubusercontent.com/ebrains-cls-interactive/usecases-info/develop/images/singlecellmodeling/compartimental_objectives.png"
},
"dataProtected": true,
"notebookPath": "Multi compartmental Cerebellar Granule cell optimization.ipynb",
"notebookRepoUrl": "https://github.com/ebrains-cls-interactive/Cerebellum_GrC_multi&branch=main",
"chooseModel": false
},
{
"id": "cerebellumGrCMultiaxon",
"title": "Custom Axon Cerebellar Granule cell simulation",
"description": "The purpose of this usecase it to explain how to setup an axon, built with BluePyOpt, containing an erbitrary number of sections. Afterward to simulate an actual cerebellar granule cell model with an axon composed by over 300 sections.",
"contributors": [
{ "name": "Stefano Masoli", "email": "[email protected]" },
{ "name": "Martina Rizza", "email": "[email protected]" }
],
"maturity": ["beta"],
"experience": ["all"],
"access": null,
"disabled": false,
"implementation": "ipynb",
"picture": {
"src": "https://raw.githubusercontent.com/ebrains-cls-interactive/usecases-info/develop/images/singlecellmodeling/Granule_2019.png"
},
"dataProtected": true,
"notebookPath": "Custom Axon Cerebellar Granule cell simulation.ipynb",
"notebookRepoUrl": "https://github.com/ebrains-cls-interactive/Cerebellum_GrC_axon_multi&branch=main",
"chooseModel": false
},
{
"id": "cerebellumPurkinje",
"title": "Simulation and validation of a mouse Purkinje cell multicompartmental model",
"description": "Simulation and validation of a mouse Purkinje cell multicompartmental model obtained from BluePyOpt optimizer. The purpose of this usecase it to extract, simulate and validated a series of physiologically correct Purkinje cells. This notebook runs directly on the Collab and does not require HPC resources",
"contributors": [
{ "name": "Stefano Masoli", "email": "[email protected]" },
{ "name": "Martina Rizza", "email": "[email protected]" }
],
"maturity": ["beta"],
"experience": ["all"],
"access": null,
"disabled": false,
"implementation": "ipynb",
"picture": {
"src": "https://raw.githubusercontent.com/ebrains-cls-interactive/usecases-info/develop/images/singlecellmodeling/PC_usecase.png"
},
"dataProtected": true,
"notebookPath": "Purkinje cell simulation and validation.ipynb",
"notebookRepoUrl": "https://github.com/ebrains-cls-interactive/Cerebellum_Purkinje_muti&branch=main",
"chooseModel": false
}
]
},
{
"title": "Morphology",
"id": "morphology",
"usecases": [
{
"id": "morphologyAnalysis",
"title": "Morphology analysis",
"description": "Performs analysis on a morphology with NeuroM",
"contributors": [
{ "name": "Liesbeth Vanherpe", "email": "" }
],
"maturity": ["beta"],
"experience": ["power"],
"access": null,
"disabled": false,
"implementation": "ipynb",
"picture": {
"src": "https://raw.githubusercontent.com/ebrains-cls-interactive/usecases-info/develop/images/morphology/morphology.png"
},
"dataProtected": false,
"tutorial": "https://object.cscs.ch/v1/AUTH_c0a333ecf7c045809321ce9d9ecdfdea/web-resources-bsp/bsp-video-tutorials/MorphologyAnalysis/index.html",
"chooseModel": true,
"notebookPath": "Morphology_Analysis.ipynb",
"notebookRepoUrl": "https://github.com/ebrains-cls-interactive/Morphology&branch=master"
},
{
"id": "morphologyVisualization",
"title": "Morphology visualization",
"description": "Display neuron morphology in 3D",
"contributors": [
{ "name": "Genrich Ivaska", "email": "[email protected]" }
],
"maturity": null,
"access": null,
"experience": ["all"],
"disabled": false,
"implementation": "webapp",
"picture": {
"src": "https://raw.githubusercontent.com/ebrains-cls-interactive/usecases-info/develop/images/morphology/morphology_3d.png"
},
"dataProtected": true,
"tutorial": "https://object.cscs.ch/v1/AUTH_c0a333ecf7c045809321ce9d9ecdfdea/web-resources-bsp/bsp-video-tutorials/MorphologyVisualization/index.html",
"chooseModel": true,
"externalUrl": "https://bluenaas-morph-viewer.apps.ebrains.eu",
"externalUrlModelPlaceholder": "{EXTERNAL_URL}/?model={MORPHOLOGY_URL}",
"maxModelSelection": 1
}
]
},
{
"title": "Single Cell InSilico Experiments",
"id": "singlecellinsilicoexperiments",
"usecases": [
{
"id": "blueNaas",
"title": "Single cell in silico experiments under current clamp",
"description": "",
"contributors": [
{ "name": "Genrich Ivaska", "email": "[email protected]" }
],
"maturity": ["beta"],
"experience": ["all"],
"access": null,
"disabled": false,
"dataProtected": false,
"implementation": "webapp",
"chooseModel": true,
"picture": {
"src": "https://raw.githubusercontent.com/ebrains-cls-interactive/usecases-info/develop/images/singlecellinsilicoexperiments/l5pc_release_responses-eps.jpg"
},
"externalUrl": "https://bluenaas-single-cell.apps.ebrains.eu",
"tutorial": "https://object.cscs.ch/v1/AUTH_c0a333ecf7c045809321ce9d9ecdfdea/web-resources-bsp/bsp-video-tutorials/SingleCellInSilicoExperimentsUnderCurrentClamp/index.html",
"externalUrlModelPlaceholder": "{EXTERNAL_URL}/#/url/{TRIMMED_SOURCE_PATH}",
"maxModelSelection": 1
}
]
},
{
"title": "Small Circuit InSilico Experiments",
"id": "smallcircuitinsilicoexperiments",
"usecases": [
{
"id": "bluePairRecordingMouseO1",
"title": "Mouse O1 - Scaffold Somatosensory Cortex Microcircuit for Mouse",
"description": "This model combines specific datasets obtained for mouse somatosensory cortex, models of neuronal electrophysiology constrained to mouse primary visual cortex data from the Allen Cell Types Database, and datasets that were algorithmically transformed from rat to mouse.",
"experience": ["all"],
"maturity": ["beta"],
"access": null,
"dataProtected": false,
"implementation": "webapp",
"disabled": false,
"contributors": [
{ "name": "Michael W. Reimann", "email": "[email protected]" },
{ "name": "Eilif Muller", "email": "[email protected]" },
{ "name": "Srikanth Ramaswamy", "email": "[email protected]" }
],
"externalUrl": "https://bluenaas-small-area.apps.ebrains.eu/circuits/mouse-sscx",
"picture": {
"src": "https://raw.githubusercontent.com/ebrains-cls-interactive/usecases-info/develop/images/smallcircuitinsilicoexperiments/mouse_o1.png"
},
"tutorial": null
},
{
"id": "dbbsCerebellumMulticomp",
"title": "Mouse cerebellum cortex",
"description": "Reconstruction and simulation of a biophysically detailed microcircuit of the cerebellar cortex, using the Brain Scaffold Builder (BSB), which provides an organized staged workflow, multiple strategies for cell placement and connectivity, a configuration system capable of including detailed neuronal and synaptic models and the support for multiple simulators with transparent parallel processing.",
"experience": ["all"],
"implementation": "ipynb",
"maturity": null,
"access": null,
"dataProtected": false,
"disabled": false,
"contributors": [
{ "name": "Robin GL De Schepper", "email": "[email protected]" },
{ "name": "Alice Geminiani", "email": "[email protected]" },
{ "name": "Stefano Masoli", "email": "[email protected]" },
{ "name": "Martina Rizza", "email": "[email protected]" },
{ "name": "Alberto Antonietti", "email": "[email protected]" },
{ "name": "Claudia Casellato", "email": "[email protected]" },
{ "name": "Egidio D'Angelo", "email": "[email protected]" }
],
"picture": {
"src": "https://user-images.githubusercontent.com/28923979/157037116-925316c3-b6c2-4177-a4e3-2f89eefe7791.png"
},
"notebookPath": "Cerebellar%20scaffold%20multicompartmental%20simulation.ipynb",
"notebookRepoUrl": "https://github.com/ebrains-cls-interactive/Cerebellum_multicompartment_simulation&branch=main",
"tutorial": null
},
{
"id": "bluePairRecordingHippocampusCA1",
"title": "Rat hippocampus CA1",
"description": "A circuit of detailed neuron models based on the Ascoli atlas.",
"experience": ["all"],
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{ "name": "Michele Migliore", "email": "[email protected]" },
{ "name": "Armando Romani", "email": "[email protected]" },
{ "name": "Eilif Muller", "email": "[email protected]" }
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{ "name": "Eugenio Urdapilleta", "email": "[email protected]" },
{ "name": "Joao Moreira", "email": "[email protected]" },
{ "name": "William Lytton", "email": "[email protected]" },
{ "name": "Samuel Neymotin", "email": "[email protected]" }
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