Last modified by graber on 2023/09/28 09:25
From version 83.1
edited by graber
on 2023/09/15 12:52
Change comment: There is no comment for this version
To version 84.1
edited by graber
on 2023/09/28 09:25
Change comment: There is no comment for this version

Summary

Details

Page properties
Content
... ... @@ -68,8 +68,11 @@
68 68  |(% style="width:33%" %)**[[eFEL: Electrophys Feature Extraction Library>>url:https://efel.readthedocs.io/en/latest]]**
69 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]]**
70 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]]**(%%)
71 -(% style="width:33%" %)Frtes is an open-source Python software to analyze neurophysiological data using information theoretical (IT) measures|
71 +(% style="width:33%" %)Frites is an open-source Python software to analyze neurophysiological data using information theoretical (IT) measures|
72 72  
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 +
73 73  === Simulation ===
74 74  
75 75  |(% style="width:33%" %)**[[Arbor>>url:https://docs.arbor-sim.org]]**
... ... @@ -114,7 +114,8 @@
114 114  
115 115  |(% style="width:33%" %)**[[Arbor GUI>>https://github.com/arbor-sim/gui]]**
116 116  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/]]**
117 -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%" %) |(% style="width:33%" %) |
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|
118 118  
119 119  === Neurorobotics ===
120 120