feat(events): add page on cns2024

source/Events/202407-CNS2024.md

@@ -0,0 +1,64 @@
+(neuromlevents:202407cns)=
+# July 2024: NeuroML tutorial at CNS 2024
+
+```{admonition} Registration for the annual meeting of the Organisation of Computational Neuroscience, CNS 2024, is open.
+:class: tip
+Please register for the CNS 2024 [here](https://www.cnsorg.org/cns-2024-quick).
+```
+
+We will be running a full day NeuroML tutorial during the [annual meeting of the Organisation of Computational Neuroscience, 2024](https://www.cnsorg.org/cns-2024-quick) meeting in Natal, Brazil from July 20--24.
+
+**Standardised, data-driven computational modelling with NeuroML using Open Source Brian**
+
+Data-driven models of neurons and circuits are important for understanding how the
+properties of membrane conductances, synapses, dendrites and the anatomical connectivity
+between neurons generate the complex dynamical behaviours of brain circuits in health and
+disease. However, even though data and models are being made publicly available in recent
+years and the use of standards such as [Neurodata Without Borders (NWB)](https://nwb.org)
+and NeuroML to promote FAIR (Findable, Accessible, Interoperable
+and Reusable) neuroscience is on the rise, development of data driven models remains
+hampered by the difficulty of finding appropriate data and the inherent complexity involved in
+their construction.
+
+The [Open Source Brain web platform (OSB)](https://opensourcebrain.org) brings together
+data, accompanying analysis tools, and computational models in a single, scalable resource.
+It indexes repositories from established sources such as the [DANDI data
+archive](https://dandiarchive.org), the [ModelDB model sharing
+archive](https://modeldb.science), and GitHub to provide easy access to a
+plethora of experimental data and models, including
+a large number standardised in NWB and NeuroML formats
+
+OSB also incorporates the NeuroML software ecosystem. NeuroML is an established
+community standard and software ecosystem that enables the development of biophysically
+detailed models using a declarative, simulator independent description. The software
+ecosystem supports all steps of the model lifecycle and allows users to automatically
+generate code and run their NeuroML models using a number of well established simulation
+engines (NEURON/NetPyNE).
+
+Read the NeuroML pre-print here: https://www.biorxiv.org/content/10.1101/2023.12.07.570537v1
+
+(neuromlevents:202407cns:agenda)=
+## Agenda
+
+In this tutorial, attendees will learn about:
+
+- Finding data and models on OSB
+- NeuroML and its software ecosystem
+- Using NeuroML models on OSB
+- Building and simulating new NeuroML models constrained by the data on OSB
+
+We will also provide assistance with advanced tasks, and discuss new features to further aid researchers.
+
+
+(neuromlevents:202407cns:when)=
+## Times and dates
+
+More details to follow
+
+(neuromlevents:202407cns:registration)=
+## Registration
+
+To take part in the tutorial, please register [here](https://www.cnsorg.org/cns-2024-quick) for CNS 2024.
+
+
+We look forward to working with the community to drive further uptake of NeuroML compliant models and tools!