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

From version 56.1
edited by graber
on 2023/05/26 10:10
Change comment: There is no comment for this version
To version 60.2
edited by graber
on 2023/06/15 06:57
Change comment: There is no comment for this version

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23 23  
24 24  |**[[PyJuGEx>>url:https://www.fz-juelich.de/inm/inm-1/DE/Forschung/_docs/JuGex/JuGex_node.html]]**
25 25  Find a set of differentially expressed genes between two user defined volumes of interest based on JuBrain maps.|**[[Julich-Brain Gene Expression>>url:https://www.fz-juelich.de/inm/inm-1/DE/Forschung/_docs/JuGex/JuGex_node.html]]**
26 -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.|**[[QuickNII>>url:https://wiki.ebrains.eu/bin/view/Collabs/quicknii-and-visualign]]**
26 +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.|**[[QuickNII>>url:https://quicknii.readthedocs.io]]**
27 27  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.|
28 28  |**[[siibra-explorer>>url:https://siibra-explorer.readthedocs.io/en/latest/]]**
29 29  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.|**[[siibra-python>>url:https://siibra-python.readthedocs.io/en/latest/]]**
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80 80  "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.|
81 81  
82 82  |**[[The Virtual Brain Web-App>>url:http://docs.thevirtualbrain.org/]]**
83 -The Virtual Brain Web App at HBP.|**[[NeuroR>>url:https://elephant.readthedocs.io/en/latest/index.html]]**
84 -NeuroR is a collection of tools to repair morphologies.|**[[Local Field Potentials in Python>>url:https://lfpy.readthedocs.io/]]**
83 +The Virtual Brain Web App at HBP.|**[[NeuroR>>url:https://neuror.readthedocs.io/]]**
84 +NeuroR is a collection of tools to repair morphologies.|**[[LFPy>>url:https://lfpy.readthedocs.io/]]**
85 85  LFPy is a Python module for the calculation of extracellular potentials and magnetic signals from activity in multicompartment neuron and network models.|
86 86  
87 87  |**[[Snudda>>url:https://github.com/Hjorthmedh/Snudda/wiki]]**
88 88  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.|**[[BlueNaaS-Subcellular>>url:https://subcellular-bsp-epfl.apps.hbp.eu/static/docs.html]]**
89 -BlueNaaS-Subcellular is designed as a web based environment for the creation and simulation of reaction-diffusion models.|
89 +BlueNaaS-Subcellular is designed as a web based environment for the creation and simulation of reaction-diffusion models.|**[[libsonata>>url:https://libsonata.readthedocs.io/en/stable/]]**
90 +A C++ / Python API for reading SONATA circuit files.|
90 90  
91 91  === Neurorobotics ===
92 92