Last modified by graber on 2023/09/28 09:25

From version 77.1
edited by graber
on 2023/09/01 07:58
Change comment: There is no comment for this version
To version 69.1
edited by graber
on 2023/08/11 09:35
Change comment: There is no comment for this version

Summary

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Content
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8 8  
9 9  === Find data ===
10 10  
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/]]**
11 +|**[[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.|**[[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.|**[[fairgraph>>url:https://fairgraph.readthedocs.io/en/latest/]]**
14 14  Python API for the Human Brain Project Neural Activity Resource, capable of changing, and working with Metadata|
15 -|(% style="width:33%" %)**[[Model Catalog>>https://model-catalog.brainsimulation.eu/docs/]]**
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%" %) |
17 17  
18 18  === Share data ===
19 19  
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65 65  Web application for viewing of series of high-resolution 2D images that have been anchored to reference atlases.|**[[BluePyEfe>>url:https://bluepyefe.readthedocs.io/en/latest/]]**
66 66  BluePyEfe eases the process of reading and extracting electircal features from experimental recordings.|
67 67  
68 -|(% style="width:33%" %)**[[eFEL: Electrophys Feature Extraction Library>>url:https://efel.readthedocs.io/en/latest]]**
69 -Automatically extract eFeatures from time series data recorded from neurons, both in vitro and in silico.|(% style="width:33%" %) |
70 -
71 71  === Simulation ===
72 72  
73 -|**[[Arbor>>url:https://docs.arbor-sim.org]]**
68 +|[[**Arbor**~>~>url:https://docs.arbor-sim.org]]
74 74  Arbor is a library for implementing performance portable network simulations of multi-compartment neuron models.|**[[BluePyMM>>url:https://bluepymm.readthedocs.io/en/latest/index.html]]**
75 75  Model Management Python Library|**[[BluePyOpt>>url:https://bluepyopt.readthedocs.io/en/latest/]]**
76 76  BluePyOpt is an extensible framework for data-driven model parameter optimisation that wraps and standardizes several existing open-source tools.|